Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations9
Missing cells0
Missing cells (%)0.0%
Total size in memory10.9 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "AA+" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:22:46.657973
Analysis finished2025-03-30 05:22:49.766464
Duration3.11 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

RATING_TYPE
Text

Distinct3
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size144.0 B
2025-03-30T10:52:49.945793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length5.444444444
Min length3

Characters and Unicode

Total characters49
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowFitch
2nd rowMoody's
3rd rowS&P
4th rowMoody's
5th rowMoody's
ValueCountFrequency (%)
moody's 5
55.6%
s&p 3
33.3%
fitch 1
 
11.1%
2025-03-30T10:52:50.901133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10
20.4%
M 5
10.2%
d 5
10.2%
y 5
10.2%
' 5
10.2%
s 5
10.2%
S 3
 
6.1%
& 3
 
6.1%
P 3
 
6.1%
F 1
 
2.0%
Other values (4) 4
 
8.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 49
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10
20.4%
M 5
10.2%
d 5
10.2%
y 5
10.2%
' 5
10.2%
s 5
10.2%
S 3
 
6.1%
& 3
 
6.1%
P 3
 
6.1%
F 1
 
2.0%
Other values (4) 4
 
8.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 49
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10
20.4%
M 5
10.2%
d 5
10.2%
y 5
10.2%
' 5
10.2%
s 5
10.2%
S 3
 
6.1%
& 3
 
6.1%
P 3
 
6.1%
F 1
 
2.0%
Other values (4) 4
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 49
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10
20.4%
M 5
10.2%
d 5
10.2%
y 5
10.2%
' 5
10.2%
s 5
10.2%
S 3
 
6.1%
& 3
 
6.1%
P 3
 
6.1%
F 1
 
2.0%
Other values (4) 4
 
8.2%

Rating
Text

Constant 

Distinct1
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size144.0 B
2025-03-30T10:52:51.168385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters27
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAA+
2nd rowAA+
3rd rowAA+
4th rowAA+
5th rowAA+
ValueCountFrequency (%)
aa 9
100.0%
2025-03-30T10:52:51.854938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 18
66.7%
+ 9
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 18
66.7%
+ 9
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 18
66.7%
+ 9
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 18
66.7%
+ 9
33.3%

FundaIndxint
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1583537639
Minimum-1.02549987
Maximum2.783938046
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:52:52.260572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.02549987
5-th percentile-0.8077991754
Q1-0.3684499891
median-0.02972535769
Q30.1572018551
95-th percentile1.86836109
Maximum2.783938046
Range3.809437916
Interquartile range (IQR)0.5256518442

Descriptive statistics

Standard deviation1.075005303
Coefficient of variation (CV)6.788631207
Kurtosis5.408167633
Mean0.1583537639
Median Absolute Deviation (MAD)0.3387246314
Skewness2.07369124
Sum1.425183875
Variance1.155636402
MonotonicityNot monotonic
2025-03-30T10:52:52.681071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.05928128405 1
11.1%
-0.02972535769 1
11.1%
2.783938046 1
11.1%
-1.02549987 1
11.1%
0.4949956542 1
11.1%
-0.1653096146 1
11.1%
-0.3684499891 1
11.1%
0.1572018551 1
11.1%
-0.4812481338 1
11.1%
ValueCountFrequency (%)
-1.02549987 1
11.1%
-0.4812481338 1
11.1%
-0.3684499891 1
11.1%
-0.1653096146 1
11.1%
-0.02972535769 1
11.1%
ValueCountFrequency (%)
2.783938046 1
11.1%
0.4949956542 1
11.1%
0.1572018551 1
11.1%
0.05928128405 1
11.1%
-0.02972535769 1
11.1%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3956233173
Minimum-1.544998949
Maximum3.253985126
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:52:53.118743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.544998949
5-th percentile-1.308755421
Q1-0.5397453593
median0.1102995786
Q31.136242317
95-th percentile2.482992631
Maximum3.253985126
Range4.798984075
Interquartile range (IQR)1.675987676

Descriptive statistics

Standard deviation1.457500892
Coefficient of variation (CV)3.684062158
Kurtosis0.5602258076
Mean0.3956233173
Median Absolute Deviation (MAD)1.025942738
Skewness0.7231657728
Sum3.560609856
Variance2.12430885
MonotonicityNot monotonic
2025-03-30T10:52:53.533016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2709622622 1
11.1%
1.136242317 1
11.1%
0.1102995786 1
11.1%
1.043675645 1
11.1%
3.253985126 1
11.1%
-1.544998949 1
11.1%
1.326503887 1
11.1%
-0.9543901286 1
11.1%
-0.5397453593 1
11.1%
ValueCountFrequency (%)
-1.544998949 1
11.1%
-0.9543901286 1
11.1%
-0.5397453593 1
11.1%
-0.2709622622 1
11.1%
0.1102995786 1
11.1%
ValueCountFrequency (%)
3.253985126 1
11.1%
1.326503887 1
11.1%
1.136242317 1
11.1%
1.043675645 1
11.1%
0.1102995786 1
11.1%

monthvwretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4413435232
Minimum-0.7569060905
Maximum1.611792766
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:52:53.955240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7569060905
5-th percentile-0.7118537264
Q1-0.2632417126
median0.5348092901
Q31.153531872
95-th percentile1.577407642
Maximum1.611792766
Range2.368698856
Interquartile range (IQR)1.416773585

Descriptive statistics

Standard deviation0.8840306203
Coefficient of variation (CV)2.003044282
Kurtosis-1.40591555
Mean0.4413435232
Median Absolute Deviation (MAD)0.7980510027
Skewness-0.02724385826
Sum3.972091709
Variance0.7815101377
MonotonicityNot monotonic
2025-03-30T10:52:54.388729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.525829957 1
11.1%
0.2094968626 1
11.1%
-0.7569060905 1
11.1%
1.153531872 1
11.1%
0.6010539442 1
11.1%
-0.6442751802 1
11.1%
-0.2632417126 1
11.1%
0.5348092901 1
11.1%
1.611792766 1
11.1%
ValueCountFrequency (%)
-0.7569060905 1
11.1%
-0.6442751802 1
11.1%
-0.2632417126 1
11.1%
0.2094968626 1
11.1%
0.5348092901 1
11.1%
ValueCountFrequency (%)
1.611792766 1
11.1%
1.525829957 1
11.1%
1.153531872 1
11.1%
0.6010539442 1
11.1%
0.5348092901 1
11.1%

monthvwretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09409764694
Minimum-1.684872139
Maximum2.381636795
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:52:54.782006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.684872139
5-th percentile-1.620153779
Q1-1.226053004
median-0.2871400974
Q30.8819299104
95-th percentile2.223436639
Maximum2.381636795
Range4.066508933
Interquartile range (IQR)2.107982915

Descriptive statistics

Standard deviation1.484417437
Coefficient of variation (CV)15.77528754
Kurtosis-1.225895788
Mean0.09409764694
Median Absolute Deviation (MAD)1.169070008
Skewness0.3497718805
Sum0.8468788224
Variance2.203495128
MonotonicityNot monotonic
2025-03-30T10:52:55.767560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.381636795 1
11.1%
-0.2871400974 1
11.1%
-1.226053004 1
11.1%
-0.349783761 1
11.1%
1.986136406 1
11.1%
-1.523076239 1
11.1%
0.8819299104 1
11.1%
-1.684872139 1
11.1%
0.6681009518 1
11.1%
ValueCountFrequency (%)
-1.684872139 1
11.1%
-1.523076239 1
11.1%
-1.226053004 1
11.1%
-0.349783761 1
11.1%
-0.2871400974 1
11.1%
ValueCountFrequency (%)
2.381636795 1
11.1%
1.986136406 1
11.1%
0.8819299104 1
11.1%
0.6681009518 1
11.1%
-0.2871400974 1
11.1%

monthewretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01723217805
Minimum-2.289061257
Maximum3.174442137
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:52:56.212965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.289061257
5-th percentile-2.045220467
Q1-0.6802615872
median-0.03849172002
Q30.8057352995
95-th percentile2.240876182
Maximum3.174442137
Range5.463503394
Interquartile range (IQR)1.485996887

Descriptive statistics

Standard deviation1.586091784
Coefficient of variation (CV)-92.04244401
Kurtosis1.322548605
Mean-0.01723217805
Median Absolute Deviation (MAD)0.8442270195
Skewness0.6862777772
Sum-0.1550896025
Variance2.515687146
MonotonicityNot monotonic
2025-03-30T10:52:56.621678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.3983733902 1
11.1%
0.8057352995 1
11.1%
-2.289061257 1
11.1%
3.174442137 1
11.1%
-0.6802615872 1
11.1%
-1.679459282 1
11.1%
0.8405272503 1
11.1%
-0.03849172002 1
11.1%
0.109852947 1
11.1%
ValueCountFrequency (%)
-2.289061257 1
11.1%
-1.679459282 1
11.1%
-0.6802615872 1
11.1%
-0.3983733902 1
11.1%
-0.03849172002 1
11.1%
ValueCountFrequency (%)
3.174442137 1
11.1%
0.8405272503 1
11.1%
0.8057352995 1
11.1%
0.109852947 1
11.1%
-0.03849172002 1
11.1%

monthewretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2265184795
Minimum-2.57821543
Maximum1.949732596
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:52:57.064756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.57821543
5-th percentile-1.94717737
Q1-0.8286580363
median-0.09682603739
Q30.3715938305
95-th percentile1.445374856
Maximum1.949732596
Range4.527948025
Interquartile range (IQR)1.200251867

Descriptive statistics

Standard deviation1.251379964
Coefficient of variation (CV)-5.524405631
Kurtosis1.364392186
Mean-0.2265184795
Median Absolute Deviation (MAD)0.7318319989
Skewness-0.1976324034
Sum-2.038666315
Variance1.565951813
MonotonicityNot monotonic
2025-03-30T10:52:57.489604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.000620281 1
11.1%
1.949732596 1
11.1%
-0.8286580363 1
11.1%
0.688838247 1
11.1%
-0.09682603739 1
11.1%
-0.4755305442 1
11.1%
-0.06898066035 1
11.1%
-2.57821543 1
11.1%
0.3715938305 1
11.1%
ValueCountFrequency (%)
-2.57821543 1
11.1%
-1.000620281 1
11.1%
-0.8286580363 1
11.1%
-0.4755305442 1
11.1%
-0.09682603739 1
11.1%
ValueCountFrequency (%)
1.949732596 1
11.1%
0.688838247 1
11.1%
0.3715938305 1
11.1%
-0.06898066035 1
11.1%
-0.09682603739 1
11.1%

monthsprtrn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1661626926
Minimum-2.011918003
Maximum1.018886995
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:52:57.916009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.011918003
5-th percentile-1.626682136
Q1-0.7969514358
median-0.1927797872
Q30.6181405953
95-th percentile0.9089475054
Maximum1.018886995
Range3.030804998
Interquartile range (IQR)1.415092031

Descriptive statistics

Standard deviation0.9893719574
Coefficient of variation (CV)-5.95423643
Kurtosis-0.2223493274
Mean-0.1661626926
Median Absolute Deviation (MAD)0.8109203825
Skewness-0.6784723742
Sum-1.495464233
Variance0.9788568701
MonotonicityNot monotonic
2025-03-30T10:52:58.353986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2806160162 1
11.1%
-1.048828334 1
11.1%
-0.7969514358 1
11.1%
-0.1927797872 1
11.1%
-2.011918003 1
11.1%
1.018886995 1
11.1%
0.4545634823 1
11.1%
0.7440382706 1
11.1%
0.6181405953 1
11.1%
ValueCountFrequency (%)
-2.011918003 1
11.1%
-1.048828334 1
11.1%
-0.7969514358 1
11.1%
-0.2806160162 1
11.1%
-0.1927797872 1
11.1%
ValueCountFrequency (%)
1.018886995 1
11.1%
0.7440382706 1
11.1%
0.6181405953 1
11.1%
0.4545634823 1
11.1%
-0.1927797872 1
11.1%

monthspindx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2340215914
Minimum-1.16322054
Maximum1.165913715
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:52:58.799426image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.16322054
5-th percentile-1.010770598
Q10.08895227261
median0.343109083
Q30.6835857452
95-th percentile1.077712189
Maximum1.165913715
Range2.329134255
Interquartile range (IQR)0.5946334726

Descriptive statistics

Standard deviation0.7645032189
Coefficient of variation (CV)3.266806342
Kurtosis0.08216019763
Mean0.2340215914
Median Absolute Deviation (MAD)0.3404766622
Skewness-0.89836738
Sum2.106194322
Variance0.5844651717
MonotonicityNot monotonic
2025-03-30T10:52:59.230643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.9454099 1
11.1%
0.6835857452 1
11.1%
0.5067346625 1
11.1%
0.3178051692 1
11.1%
0.343109083 1
11.1%
-0.7820956853 1
11.1%
0.08895227261 1
11.1%
1.165913715 1
11.1%
-1.16322054 1
11.1%
ValueCountFrequency (%)
-1.16322054 1
11.1%
-0.7820956853 1
11.1%
0.08895227261 1
11.1%
0.3178051692 1
11.1%
0.343109083 1
11.1%
ValueCountFrequency (%)
1.165913715 1
11.1%
0.9454099 1
11.1%
0.6835857452 1
11.1%
0.5067346625 1
11.1%
0.343109083 1
11.1%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3847656313
Minimum-0.9953553639
Maximum2.155884909
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:52:59.646072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9953553639
5-th percentile-0.9720220201
Q1-0.4895394437
median0.316426073
Q31.384442112
95-th percentile1.883872257
Maximum2.155884909
Range3.151240273
Interquartile range (IQR)1.873981555

Descriptive statistics

Standard deviation1.131075087
Coefficient of variation (CV)2.939646879
Kurtosis-1.353727442
Mean0.3847656313
Median Absolute Deviation (MAD)1.068016039
Skewness0.2324972753
Sum3.462890682
Variance1.279330853
MonotonicityNot monotonic
2025-03-30T10:53:00.087371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.316426073 1
11.1%
-0.9953553639 1
11.1%
-0.9370220044 1
11.1%
1.47585328 1
11.1%
-0.2052546296 1
11.1%
2.155884909 1
11.1%
1.384442112 1
11.1%
0.7574557493 1
11.1%
-0.4895394437 1
11.1%
ValueCountFrequency (%)
-0.9953553639 1
11.1%
-0.9370220044 1
11.1%
-0.4895394437 1
11.1%
-0.2052546296 1
11.1%
0.316426073 1
11.1%
ValueCountFrequency (%)
2.155884909 1
11.1%
1.47585328 1
11.1%
1.384442112 1
11.1%
0.7574557493 1
11.1%
0.316426073 1
11.1%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2379141686
Minimum-2.455125026
Maximum1.171580527
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:00.519122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.455125026
5-th percentile-2.090860813
Q1-0.7136165557
median-0.321623136
Q30.8024708823
95-th percentile1.056838885
Maximum1.171580527
Range3.626705553
Interquartile range (IQR)1.516087438

Descriptive statistics

Standard deviation1.207365228
Coefficient of variation (CV)-5.074793299
Kurtosis-0.2802540646
Mean-0.2379141686
Median Absolute Deviation (MAD)1.124094018
Skewness-0.6939150875
Sum-2.141227517
Variance1.457730794
MonotonicityNot monotonic
2025-03-30T10:53:00.983235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.8847264218 1
11.1%
-0.7136165557 1
11.1%
0.4331447692 1
11.1%
-0.321623136 1
11.1%
-2.455125026 1
11.1%
-1.544464494 1
11.1%
0.8024708823 1
11.1%
-0.398320906 1
11.1%
1.171580527 1
11.1%
ValueCountFrequency (%)
-2.455125026 1
11.1%
-1.544464494 1
11.1%
-0.7136165557 1
11.1%
-0.398320906 1
11.1%
-0.321623136 1
11.1%
ValueCountFrequency (%)
1.171580527 1
11.1%
0.8847264218 1
11.1%
0.8024708823 1
11.1%
0.4331447692 1
11.1%
-0.321623136 1
11.1%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4444303395
Minimum-1.437166761
Maximum0.4220131607
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:01.432096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.437166761
5-th percentile-1.286056909
Q1-0.6908804123
median-0.5331039249
Q30.1293069752
95-th percentile0.3215962851
Maximum0.4220131607
Range1.859179921
Interquartile range (IQR)0.8201873875

Descriptive statistics

Standard deviation0.602700928
Coefficient of variation (CV)-1.356120126
Kurtosis-0.6461716335
Mean-0.4444303395
Median Absolute Deviation (MAD)0.5262882056
Skewness-0.114551384
Sum-3.999873056
Variance0.3632484086
MonotonicityNot monotonic
2025-03-30T10:53:01.933814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1709709716 1
11.1%
-0.5331039249 1
11.1%
0.1293069752 1
11.1%
-0.566795173 1
11.1%
0.4220131607 1
11.1%
-1.05939213 1
11.1%
-0.4348257619 1
11.1%
-0.6908804123 1
11.1%
-1.437166761 1
11.1%
ValueCountFrequency (%)
-1.437166761 1
11.1%
-1.05939213 1
11.1%
-0.6908804123 1
11.1%
-0.566795173 1
11.1%
-0.5331039249 1
11.1%
ValueCountFrequency (%)
0.4220131607 1
11.1%
0.1709709716 1
11.1%
0.1293069752 1
11.1%
-0.4348257619 1
11.1%
-0.5331039249 1
11.1%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3349699437
Minimum-1.562654785
Maximum1.774212504
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:02.377059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.562654785
5-th percentile-1.559995564
Q1-1.312279385
median-0.6289288912
Q30.4490109634
95-th percentile1.497961463
Maximum1.774212504
Range3.336867289
Interquartile range (IQR)1.761290349

Descriptive statistics

Standard deviation1.189075817
Coefficient of variation (CV)-3.549798541
Kurtosis-0.5975650158
Mean-0.3349699437
Median Absolute Deviation (MAD)0.9270778416
Skewness0.7665955749
Sum-3.014729493
Variance1.413901299
MonotonicityNot monotonic
2025-03-30T10:53:02.835915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5286620033 1
11.1%
-0.6289288912 1
11.1%
-1.556006733 1
11.1%
0.4490109634 1
11.1%
1.083584901 1
11.1%
1.774212504 1
11.1%
-1.312279385 1
11.1%
-1.562654785 1
11.1%
-0.7330060633 1
11.1%
ValueCountFrequency (%)
-1.562654785 1
11.1%
-1.556006733 1
11.1%
-1.312279385 1
11.1%
-0.7330060633 1
11.1%
-0.6289288912 1
11.1%
ValueCountFrequency (%)
1.774212504 1
11.1%
1.083584901 1
11.1%
0.4490109634 1
11.1%
-0.5286620033 1
11.1%
-0.6289288912 1
11.1%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5746450699
Minimum-0.3894178775
Maximum2.363633444
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:53:03.265866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.3894178775
5-th percentile-0.2743770233
Q10.2592180183
median0.421359568
Q30.7930563807
95-th percentile1.792275331
Maximum2.363633444
Range2.753051321
Interquartile range (IQR)0.5338383623

Descriptive statistics

Standard deviation0.787603544
Coefficient of variation (CV)1.370591318
Kurtosis3.330308578
Mean0.5746450699
Median Absolute Deviation (MAD)0.3716968126
Skewness1.487578731
Sum5.171805629
Variance0.6203193425
MonotonicityNot monotonic
2025-03-30T10:53:03.705558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.101815742 1
11.1%
-0.3894178775 1
11.1%
0.9352381614 1
11.1%
0.588199935 1
11.1%
0.2592180183 1
11.1%
0.7930563807 1
11.1%
2.363633444 1
11.1%
0.421359568 1
11.1%
0.3023337418 1
11.1%
ValueCountFrequency (%)
-0.3894178775 1
11.1%
-0.101815742 1
11.1%
0.2592180183 1
11.1%
0.3023337418 1
11.1%
0.421359568 1
11.1%
ValueCountFrequency (%)
2.363633444 1
11.1%
0.9352381614 1
11.1%
0.7930563807 1
11.1%
0.588199935 1
11.1%
0.421359568 1
11.1%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0620407637
Minimum-1.772610128
Maximum1.126366861
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:04.135326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.772610128
5-th percentile-1.623648094
Q1-1.193154646
median0.3939119732
Q30.7730999415
95-th percentile1.02870643
Maximum1.126366861
Range2.898976989
Interquartile range (IQR)1.966254588

Descriptive statistics

Standard deviation1.103651784
Coefficient of variation (CV)-17.78913925
Kurtosis-1.499634232
Mean-0.0620407637
Median Absolute Deviation (MAD)0.4883038092
Skewness-0.6283554994
Sum-0.5583668733
Variance1.218047261
MonotonicityNot monotonic
2025-03-30T10:53:04.527509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.03973890481 1
11.1%
-1.772610128 1
11.1%
-1.193154646 1
11.1%
1.126366861 1
11.1%
0.6717472911 1
11.1%
0.3939119732 1
11.1%
0.7730999415 1
11.1%
0.8822157825 1
11.1%
-1.400205043 1
11.1%
ValueCountFrequency (%)
-1.772610128 1
11.1%
-1.400205043 1
11.1%
-1.193154646 1
11.1%
-0.03973890481 1
11.1%
0.3939119732 1
11.1%
ValueCountFrequency (%)
1.126366861 1
11.1%
0.8822157825 1
11.1%
0.7730999415 1
11.1%
0.6717472911 1
11.1%
0.3939119732 1
11.1%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.858268661
Minimum-2.204037575
Maximum0.374436326
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:04.952189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.204037575
5-th percentile-1.948691294
Q1-1.313757814
median-1.037453401
Q3-0.4352043286
95-th percentile0.3227729307
Maximum0.374436326
Range2.578473901
Interquartile range (IQR)0.8785534851

Descriptive statistics

Standard deviation0.8329977396
Coefficient of variation (CV)-0.9705559313
Kurtosis-0.4531595465
Mean-0.858268661
Median Absolute Deviation (MAD)0.5282184723
Skewness0.1091232705
Sum-7.724417949
Variance0.6938852342
MonotonicityNot monotonic
2025-03-30T10:53:05.391690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.6926615578 1
11.1%
0.2452778378 1
11.1%
-1.313757814 1
11.1%
0.374436326 1
11.1%
-0.4352043286 1
11.1%
-1.095345564 1
11.1%
-2.204037575 1
11.1%
-1.037453401 1
11.1%
-1.565671873 1
11.1%
ValueCountFrequency (%)
-2.204037575 1
11.1%
-1.565671873 1
11.1%
-1.313757814 1
11.1%
-1.095345564 1
11.1%
-1.037453401 1
11.1%
ValueCountFrequency (%)
0.374436326 1
11.1%
0.2452778378 1
11.1%
-0.4352043286 1
11.1%
-0.6926615578 1
11.1%
-1.037453401 1
11.1%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1222623275
Minimum-1.225933365
Maximum1.173726998
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:05.847169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.225933365
5-th percentile-0.96757122
Q1-0.5156640338
median-0.198739036
Q30.2859849407
95-th percentile0.8496545749
Maximum1.173726998
Range2.399660363
Interquartile range (IQR)0.8016489746

Descriptive statistics

Standard deviation0.6935767256
Coefficient of variation (CV)-5.672857207
Kurtosis0.6097285832
Mean-0.1222623275
Median Absolute Deviation (MAD)0.3812889665
Skewness0.393759027
Sum-1.100360947
Variance0.4810486743
MonotonicityNot monotonic
2025-03-30T10:53:06.332050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.173726998 1
11.1%
0.3635459407 1
11.1%
0.2859849407 1
11.1%
-0.4890947859 1
11.1%
-0.5156640338 1
11.1%
-0.198739036 1
11.1%
0.08584039673 1
11.1%
-0.5800280025 1
11.1%
-1.225933365 1
11.1%
ValueCountFrequency (%)
-1.225933365 1
11.1%
-0.5800280025 1
11.1%
-0.5156640338 1
11.1%
-0.4890947859 1
11.1%
-0.198739036 1
11.1%
ValueCountFrequency (%)
1.173726998 1
11.1%
0.3635459407 1
11.1%
0.2859849407 1
11.1%
0.08584039673 1
11.1%
-0.198739036 1
11.1%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1050362436
Minimum-2.452406923
Maximum1.557968849
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:06.763067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.452406923
5-th percentile-1.937621222
Q1-0.9308811942
median-0.1952976956
Q31.051950406
95-th percentile1.533184195
Maximum1.557968849
Range4.010375773
Interquartile range (IQR)1.9828316

Descriptive statistics

Standard deviation1.334195718
Coefficient of variation (CV)-12.70224136
Kurtosis-0.5023951679
Mean-0.1050362436
Median Absolute Deviation (MAD)0.9701449746
Skewness-0.3027883423
Sum-0.945326192
Variance1.780078213
MonotonicityNot monotonic
2025-03-30T10:53:07.294985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5025994606 1
11.1%
-0.9308811942 1
11.1%
-0.1952976956 1
11.1%
0.1953752844 1
11.1%
-1.16544267 1
11.1%
1.051950406 1
11.1%
-2.452406923 1
11.1%
1.557968849 1
11.1%
1.496007213 1
11.1%
ValueCountFrequency (%)
-2.452406923 1
11.1%
-1.16544267 1
11.1%
-0.9308811942 1
11.1%
-0.5025994606 1
11.1%
-0.1952976956 1
11.1%
ValueCountFrequency (%)
1.557968849 1
11.1%
1.496007213 1
11.1%
1.051950406 1
11.1%
0.1953752844 1
11.1%
-0.1952976956 1
11.1%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03919984614
Minimum-1.114685361
Maximum2.035678319
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:07.762341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.114685361
5-th percentile-1.107260427
Q1-1.048524113
median0.07900008361
Q30.8551086322
95-th percentile1.766476536
Maximum2.035678319
Range3.15036368
Interquartile range (IQR)1.903632745

Descriptive statistics

Standard deviation1.171092177
Coefficient of variation (CV)29.87491769
Kurtosis-1.038591078
Mean0.03919984614
Median Absolute Deviation (MAD)1.127524197
Skewness0.5876631323
Sum0.3527986153
Variance1.371456887
MonotonicityNot monotonic
2025-03-30T10:53:08.214563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1111721603 1
11.1%
2.035678319 1
11.1%
-1.096123025 1
11.1%
-1.114685361 1
11.1%
0.8551086322 1
11.1%
-1.048524113 1
11.1%
1.362673862 1
11.1%
-0.831501943 1
11.1%
0.07900008361 1
11.1%
ValueCountFrequency (%)
-1.114685361 1
11.1%
-1.096123025 1
11.1%
-1.048524113 1
11.1%
-0.831501943 1
11.1%
0.07900008361 1
11.1%
ValueCountFrequency (%)
2.035678319 1
11.1%
1.362673862 1
11.1%
0.8551086322 1
11.1%
0.1111721603 1
11.1%
0.07900008361 1
11.1%

monthtotval
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1042420284
Minimum-1.034101189
Maximum0.677943785
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:08.662282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.034101189
5-th percentile-0.9694668399
Q1-0.7159168508
median0.07834866896
Q30.5237711098
95-th percentile0.675181076
Maximum0.677943785
Range1.712044974
Interquartile range (IQR)1.239687961

Descriptive statistics

Standard deviation0.6916158672
Coefficient of variation (CV)-6.634712294
Kurtosis-2.003908511
Mean-0.1042420284
Median Absolute Deviation (MAD)0.599595116
Skewness-0.1550202923
Sum-0.9381782554
Variance0.4783325078
MonotonicityNot monotonic
2025-03-30T10:53:09.130116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.6710370127 1
11.1%
-0.8725153156 1
11.1%
-0.7159168508 1
11.1%
0.677943785 1
11.1%
-1.034101189 1
11.1%
0.5237711098 1
11.1%
0.07834866896 1
11.1%
-0.5548717128 1
11.1%
0.2881262367 1
11.1%
ValueCountFrequency (%)
-1.034101189 1
11.1%
-0.8725153156 1
11.1%
-0.7159168508 1
11.1%
-0.5548717128 1
11.1%
0.07834866896 1
11.1%
ValueCountFrequency (%)
0.677943785 1
11.1%
0.6710370127 1
11.1%
0.5237711098 1
11.1%
0.2881262367 1
11.1%
0.07834866896 1
11.1%

monthtotcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3340694596
Minimum-1.887824839
Maximum1.991252602
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:09.632217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.887824839
5-th percentile-1.503022577
Q1-0.587497815
median0.4556186195
Q31.122863954
95-th percentile1.98062958
Maximum1.991252602
Range3.879077441
Interquartile range (IQR)1.710361769

Descriptive statistics

Standard deviation1.296616818
Coefficient of variation (CV)3.881279118
Kurtosis-0.5330921527
Mean0.3340694596
Median Absolute Deviation (MAD)1.043116434
Skewness-0.3218903737
Sum3.006625136
Variance1.681215172
MonotonicityNot monotonic
2025-03-30T10:53:10.126395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.587497815 1
11.1%
1.964695048 1
11.1%
-0.9258191831 1
11.1%
-1.887824839 1
11.1%
1.991252602 1
11.1%
0.3557929749 1
11.1%
1.122863954 1
11.1%
0.5175437758 1
11.1%
0.4556186195 1
11.1%
ValueCountFrequency (%)
-1.887824839 1
11.1%
-0.9258191831 1
11.1%
-0.587497815 1
11.1%
0.3557929749 1
11.1%
0.4556186195 1
11.1%
ValueCountFrequency (%)
1.991252602 1
11.1%
1.964695048 1
11.1%
1.122863954 1
11.1%
0.5175437758 1
11.1%
0.4556186195 1
11.1%

monthusdval
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02252370851
Minimum-2.901523683
Maximum2.278333029
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:10.648243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.901523683
5-th percentile-1.982710853
Q1-0.5056563599
median0.1125157116
Q30.6150301938
95-th percentile1.760260702
Maximum2.278333029
Range5.179856712
Interquartile range (IQR)1.120686554

Descriptive statistics

Standard deviation1.410662918
Coefficient of variation (CV)-62.63013562
Kurtosis2.067198939
Mean-0.02252370851
Median Absolute Deviation (MAD)0.6181720715
Skewness-0.6171071231
Sum-0.2027133765
Variance1.989969869
MonotonicityNot monotonic
2025-03-30T10:53:11.123515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3098772846 1
11.1%
2.278333029 1
11.1%
-0.5056563599 1
11.1%
-0.4899501552 1
11.1%
0.6150301938 1
11.1%
-2.901523683 1
11.1%
0.1125157116 1
11.1%
0.9831522109 1
11.1%
-0.6044916088 1
11.1%
ValueCountFrequency (%)
-2.901523683 1
11.1%
-0.6044916088 1
11.1%
-0.5056563599 1
11.1%
-0.4899501552 1
11.1%
0.1125157116 1
11.1%
ValueCountFrequency (%)
2.278333029 1
11.1%
0.9831522109 1
11.1%
0.6150301938 1
11.1%
0.3098772846 1
11.1%
0.1125157116 1
11.1%

monthusdcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4879248119
Minimum-2.43506369
Maximum1.813341205
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:11.568701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.43506369
5-th percentile-2.247078444
Q1-1.226875535
median-0.4346450898
Q30.2638390042
95-th percentile1.370150807
Maximum1.813341205
Range4.248404895
Interquartile range (IQR)1.490714539

Descriptive statistics

Standard deviation1.325854995
Coefficient of variation (CV)-2.717334645
Kurtosis-0.2492196097
Mean-0.4879248119
Median Absolute Deviation (MAD)0.7922304447
Skewness0.2241840452
Sum-4.391323307
Variance1.757891469
MonotonicityNot monotonic
2025-03-30T10:53:11.995344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.9072600468 1
11.1%
1.813341205 1
11.1%
0.7053652102 1
11.1%
-0.2049237918 1
11.1%
-1.965100574 1
11.1%
-2.43506369 1
11.1%
-1.226875535 1
11.1%
-0.4346450898 1
11.1%
0.2638390042 1
11.1%
ValueCountFrequency (%)
-2.43506369 1
11.1%
-1.965100574 1
11.1%
-1.226875535 1
11.1%
-0.9072600468 1
11.1%
-0.4346450898 1
11.1%
ValueCountFrequency (%)
1.813341205 1
11.1%
0.7053652102 1
11.1%
0.2638390042 1
11.1%
-0.2049237918 1
11.1%
-0.4346450898 1
11.1%

monthprtcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6244299267
Minimum-0.4010588501
Maximum2.453903346
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:12.378447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4010588501
5-th percentile-0.398079085
Q1-0.3228244637
median0.4655840165
Q31.36479881
95-th percentile2.060261578
Maximum2.453903346
Range2.854962196
Interquartile range (IQR)1.687623273

Descriptive statistics

Standard deviation0.9850177556
Coefficient of variation (CV)1.577467244
Kurtosis-0.2987103969
Mean0.6244299267
Median Absolute Deviation (MAD)0.8591934539
Skewness0.6892134207
Sum5.61986934
Variance0.9702599788
MonotonicityNot monotonic
2025-03-30T10:53:12.818575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.453903346 1
11.1%
1.36479881 1
11.1%
-0.4010588501 1
11.1%
0.7223879283 1
11.1%
-0.3228244637 1
11.1%
0.2608890647 1
11.1%
-0.3936094373 1
11.1%
1.469798926 1
11.1%
0.4655840165 1
11.1%
ValueCountFrequency (%)
-0.4010588501 1
11.1%
-0.3936094373 1
11.1%
-0.3228244637 1
11.1%
0.2608890647 1
11.1%
0.4655840165 1
11.1%
ValueCountFrequency (%)
2.453903346 1
11.1%
1.469798926 1
11.1%
1.36479881 1
11.1%
0.7223879283 1
11.1%
0.4655840165 1
11.1%

monthtotret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05695859907
Minimum-1.985662156
Maximum1.833922652
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:13.312065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.985662156
5-th percentile-1.745860471
Q1-0.3876781836
median-0.2391236945
Q30.7159524177
95-th percentile1.537353007
Maximum1.833922652
Range3.819584809
Interquartile range (IQR)1.103630601

Descriptive statistics

Standard deviation1.182508802
Coefficient of variation (CV)-20.76084772
Kurtosis-0.2068776925
Mean-0.05695859907
Median Absolute Deviation (MAD)0.9550761122
Skewness-0.08047816914
Sum-0.5126273916
Variance1.398327066
MonotonicityNot monotonic
2025-03-30T10:53:13.823334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2391236945 1
11.1%
-1.985662156 1
11.1%
-1.386157944 1
11.1%
0.09846281707 1
11.1%
1.833922652 1
11.1%
-0.2548418381 1
11.1%
1.092498538 1
11.1%
0.7159524177 1
11.1%
-0.3876781836 1
11.1%
ValueCountFrequency (%)
-1.985662156 1
11.1%
-1.386157944 1
11.1%
-0.3876781836 1
11.1%
-0.2548418381 1
11.1%
-0.2391236945 1
11.1%
ValueCountFrequency (%)
1.833922652 1
11.1%
1.092498538 1
11.1%
0.7159524177 1
11.1%
0.09846281707 1
11.1%
-0.2391236945 1
11.1%

monthtotind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7159103401
Minimum-2.913672442
Maximum0.3498901201
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:14.341350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.913672442
5-th percentile-2.428287362
Q1-0.8050573923
median-0.4525616692
Q3-0.02785555538
95-th percentile0.2235868647
Maximum0.3498901201
Range3.263562562
Interquartile range (IQR)0.777201837

Descriptive statistics

Standard deviation1.010964976
Coefficient of variation (CV)-1.412139089
Kurtosis2.124682001
Mean-0.7159103401
Median Absolute Deviation (MAD)0.4247061138
Skewness-1.487031391
Sum-6.443193061
Variance1.022050182
MonotonicityNot monotonic
2025-03-30T10:53:14.805878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.03413198151 1
11.1%
-2.913672442 1
11.1%
-0.4525616692 1
11.1%
-0.4883798213 1
11.1%
-1.700209743 1
11.1%
-0.8050573923 1
11.1%
0.3498901201 1
11.1%
-0.02785555538 1
11.1%
-0.4394785402 1
11.1%
ValueCountFrequency (%)
-2.913672442 1
11.1%
-1.700209743 1
11.1%
-0.8050573923 1
11.1%
-0.4883798213 1
11.1%
-0.4525616692 1
11.1%
ValueCountFrequency (%)
0.3498901201 1
11.1%
0.03413198151 1
11.1%
-0.02785555538 1
11.1%
-0.4394785402 1
11.1%
-0.4525616692 1
11.1%

monthcapret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.366301701
Minimum-1.993218823
Maximum1.651546269
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:15.311106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.993218823
5-th percentile-1.806959492
Q1-1.108996693
median-0.3179695664
Q3-0.09602740532
95-th percentile1.291042526
Maximum1.651546269
Range3.644765093
Interquartile range (IQR)1.012969288

Descriptive statistics

Standard deviation1.115495858
Coefficient of variation (CV)-3.045292596
Kurtosis0.145682079
Mean-0.366301701
Median Absolute Deviation (MAD)0.7910271268
Skewness0.3875933593
Sum-3.296715309
Variance1.244331008
MonotonicityNot monotonic
2025-03-30T10:53:15.794348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.108996693 1
11.1%
-1.527570494 1
11.1%
1.651546269 1
11.1%
0.7502869101 1
11.1%
-0.4007093075 1
11.1%
-1.993218823 1
11.1%
-0.2540561982 1
11.1%
-0.3179695664 1
11.1%
-0.09602740532 1
11.1%
ValueCountFrequency (%)
-1.993218823 1
11.1%
-1.527570494 1
11.1%
-1.108996693 1
11.1%
-0.4007093075 1
11.1%
-0.3179695664 1
11.1%
ValueCountFrequency (%)
1.651546269 1
11.1%
0.7502869101 1
11.1%
-0.09602740532 1
11.1%
-0.2540561982 1
11.1%
-0.3179695664 1
11.1%

monthcapind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2703605859
Minimum-1.319321914
Maximum0.8496350018
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:16.291736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.319321914
5-th percentile-1.077149543
Q1-0.6079484473
median-0.216411175
Q3-0.08143878094
95-th percentile0.5479015426
Maximum0.8496350018
Range2.168956916
Interquartile range (IQR)0.5265096663

Descriptive statistics

Standard deviation0.5968445989
Coefficient of variation (CV)-2.207587312
Kurtosis1.455459625
Mean-0.2703605859
Median Absolute Deviation (MAD)0.3117125289
Skewness0.1376536521
Sum-2.433245273
Variance0.3562234753
MonotonicityNot monotonic
2025-03-30T10:53:16.741048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2784328826 1
11.1%
0.8496350018 1
11.1%
-0.1607374413 1
11.1%
-0.7138909874 1
11.1%
-0.08143878094 1
11.1%
0.09530135387 1
11.1%
-1.319321914 1
11.1%
-0.6079484473 1
11.1%
-0.216411175 1
11.1%
ValueCountFrequency (%)
-1.319321914 1
11.1%
-0.7138909874 1
11.1%
-0.6079484473 1
11.1%
-0.2784328826 1
11.1%
-0.216411175 1
11.1%
ValueCountFrequency (%)
0.8496350018 1
11.1%
0.09530135387 1
11.1%
-0.08143878094 1
11.1%
-0.1607374413 1
11.1%
-0.216411175 1
11.1%

monthincret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4515139254
Minimum-1.123529121
Maximum1.389964069
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:53:17.175521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.123529121
5-th percentile-0.9569638744
Q10.09912653615
median0.5790077001
Q31.27107165
95-th percentile1.387035215
Maximum1.389964069
Range2.51349319
Interquartile range (IQR)1.171945114

Descriptive statistics

Standard deviation0.8998520132
Coefficient of variation (CV)1.992966247
Kurtosis-0.5028602998
Mean0.4515139254
Median Absolute Deviation (MAD)0.6920639495
Skewness-0.7260075558
Sum4.063625329
Variance0.8097336457
MonotonicityNot monotonic
2025-03-30T10:53:17.637096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.757393469 1
11.1%
-1.123529121 1
11.1%
0.09912653615 1
11.1%
1.382641936 1
11.1%
0.5790077001 1
11.1%
1.389964069 1
11.1%
1.27107165 1
11.1%
-0.7071160046 1
11.1%
0.4150650949 1
11.1%
ValueCountFrequency (%)
-1.123529121 1
11.1%
-0.7071160046 1
11.1%
0.09912653615 1
11.1%
0.4150650949 1
11.1%
0.5790077001 1
11.1%
ValueCountFrequency (%)
1.389964069 1
11.1%
1.382641936 1
11.1%
1.27107165 1
11.1%
0.757393469 1
11.1%
0.5790077001 1
11.1%

monthincind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01458034349
Minimum-1.166237894
Maximum1.836674631
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:18.077763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.166237894
5-th percentile-1.07657735
Q1-0.7056057805
median0.1329186418
Q30.2929882083
95-th percentile1.279118989
Maximum1.836674631
Range3.002912525
Interquartile range (IQR)0.9985939888

Descriptive statistics

Standard deviation0.903407967
Coefficient of variation (CV)-61.96067792
Kurtosis1.272346019
Mean-0.01458034349
Median Absolute Deviation (MAD)0.3812766682
Skewness0.8322760282
Sum-0.1312230914
Variance0.8161459549
MonotonicityNot monotonic
2025-03-30T10:53:18.531522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2483580264 1
11.1%
0.4427855253 1
11.1%
0.2929882083 1
11.1%
0.1329186418 1
11.1%
0.2256981378 1
11.1%
1.836674631 1
11.1%
-0.7056057805 1
11.1%
-0.9420865348 1
11.1%
-1.166237894 1
11.1%
ValueCountFrequency (%)
-1.166237894 1
11.1%
-0.9420865348 1
11.1%
-0.7056057805 1
11.1%
-0.2483580264 1
11.1%
0.1329186418 1
11.1%
ValueCountFrequency (%)
1.836674631 1
11.1%
0.4427855253 1
11.1%
0.2929882083 1
11.1%
0.2256981378 1
11.1%
0.1329186418 1
11.1%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2232470198
Minimum-1.293819402
Maximum1.842903048
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:18.960154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.293819402
5-th percentile-1.215916769
Q1-1.071856802
median0.6362373754
Q30.8305079577
95-th percentile1.50202513
Maximum1.842903048
Range3.13672245
Interquartile range (IQR)1.90236476

Descriptive statistics

Standard deviation1.104407144
Coefficient of variation (CV)4.947018531
Kurtosis-1.221184298
Mean0.2232470198
Median Absolute Deviation (MAD)0.3544708783
Skewness-0.3422592996
Sum2.009223178
Variance1.21971514
MonotonicityNot monotonic
2025-03-30T10:53:19.388256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.9907082537 1
11.1%
0.8305079577 1
11.1%
-1.071856802 1
11.1%
0.6362373754 1
11.1%
0.671886575 1
11.1%
-1.099062821 1
11.1%
0.501718993 1
11.1%
1.842903048 1
11.1%
-1.293819402 1
11.1%
ValueCountFrequency (%)
-1.293819402 1
11.1%
-1.099062821 1
11.1%
-1.071856802 1
11.1%
0.501718993 1
11.1%
0.6362373754 1
11.1%
ValueCountFrequency (%)
1.842903048 1
11.1%
0.9907082537 1
11.1%
0.8305079577 1
11.1%
0.671886575 1
11.1%
0.6362373754 1
11.1%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.178866022
Minimum-1.252174447
Maximum0.5436079275
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:19.830248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.252174447
5-th percentile-1.032403779
Q1-0.2371877384
median-0.05652988338
Q30.1163634514
95-th percentile0.3754071903
Maximum0.5436079275
Range1.795782375
Interquartile range (IQR)0.3535511898

Descriptive statistics

Standard deviation0.5260164463
Coefficient of variation (CV)-2.940840527
Kurtosis1.360349517
Mean-0.178866022
Median Absolute Deviation (MAD)0.179635968
Skewness-1.028215409
Sum-1.609794198
Variance0.2766933017
MonotonicityNot monotonic
2025-03-30T10:53:20.299033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.7027477767 1
11.1%
0.1163634514 1
11.1%
-0.05652988338 1
11.1%
-1.252174447 1
11.1%
-0.2371877384 1
11.1%
0.07892781907 1
11.1%
-0.2231596342 1
11.1%
0.5436079275 1
11.1%
0.1231060846 1
11.1%
ValueCountFrequency (%)
-1.252174447 1
11.1%
-0.7027477767 1
11.1%
-0.2371877384 1
11.1%
-0.2231596342 1
11.1%
-0.05652988338 1
11.1%
ValueCountFrequency (%)
0.5436079275 1
11.1%
0.1231060846 1
11.1%
0.1163634514 1
11.1%
0.07892781907 1
11.1%
-0.05652988338 1
11.1%

SPIndewretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3016647451
Minimum-2.274886764
Maximum1.057192999
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:20.773405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.274886764
5-th percentile-2.167643533
Q1-1.193542274
median0.04059847616
Q30.7490439445
95-th percentile0.9466419705
Maximum1.057192999
Range3.332079763
Interquartile range (IQR)1.942586219

Descriptive statistics

Standard deviation1.24598507
Coefficient of variation (CV)-4.13036356
Kurtosis-1.170560583
Mean-0.3016647451
Median Absolute Deviation (MAD)0.7402169517
Skewness-0.6585965182
Sum-2.714982706
Variance1.552478796
MonotonicityNot monotonic
2025-03-30T10:53:21.213888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-2.006778688 1
11.1%
1.057192999 1
11.1%
0.7808154278 1
11.1%
0.04059847616 1
11.1%
0.7490439445 1
11.1%
0.4620133099 1
11.1%
-2.274886764 1
11.1%
-1.193542274 1
11.1%
-0.3294391371 1
11.1%
ValueCountFrequency (%)
-2.274886764 1
11.1%
-2.006778688 1
11.1%
-1.193542274 1
11.1%
-0.3294391371 1
11.1%
0.04059847616 1
11.1%
ValueCountFrequency (%)
1.057192999 1
11.1%
0.7808154278 1
11.1%
0.7490439445 1
11.1%
0.4620133099 1
11.1%
0.04059847616 1
11.1%

SPIndewretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4185917615
Minimum-1.976000448
Maximum0.4992600314
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:21.709227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.976000448
5-th percentile-1.652690944
Q1-0.9233339444
median-0.01850460323
Q30.1381317064
95-th percentile0.4732129069
Maximum0.4992600314
Range2.475260479
Interquartile range (IQR)1.061465651

Descriptive statistics

Standard deviation0.835659005
Coefficient of variation (CV)-1.996357984
Kurtosis-0.3574383641
Mean-0.4185917615
Median Absolute Deviation (MAD)0.5177646346
Skewness-0.7321507839
Sum-3.767325853
Variance0.6983259727
MonotonicityNot monotonic
2025-03-30T10:53:22.190503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.976000448 1
11.1%
0.0119282374 1
11.1%
-1.167726688 1
11.1%
-0.765222366 1
11.1%
-0.01850460323 1
11.1%
0.4341422203 1
11.1%
-0.9233339444 1
11.1%
0.4992600314 1
11.1%
0.1381317064 1
11.1%
ValueCountFrequency (%)
-1.976000448 1
11.1%
-1.167726688 1
11.1%
-0.9233339444 1
11.1%
-0.765222366 1
11.1%
-0.01850460323 1
11.1%
ValueCountFrequency (%)
0.4992600314 1
11.1%
0.4341422203 1
11.1%
0.1381317064 1
11.1%
0.0119282374 1
11.1%
-0.01850460323 1
11.1%

SPIndtotval
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3378948342
Minimum-1.708185069
Maximum1.758417857
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:22.609791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.708185069
5-th percentile-1.242955038
Q1-0.3887164909
median0.7433121295
Q30.8181728004
95-th percentile1.54561958
Maximum1.758417857
Range3.466602927
Interquartile range (IQR)1.206889291

Descriptive statistics

Standard deviation1.052678836
Coefficient of variation (CV)3.115403759
Kurtosis0.4926819749
Mean0.3378948342
Median Absolute Deviation (MAD)0.483110035
Skewness-0.8025289728
Sum3.041053508
Variance1.108132733
MonotonicityNot monotonic
2025-03-30T10:53:23.056514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.758417857 1
11.1%
0.7448964184 1
11.1%
0.391843688 1
11.1%
0.7433121295 1
11.1%
1.226422165 1
11.1%
-0.5451099902 1
11.1%
-1.708185069 1
11.1%
0.8181728004 1
11.1%
-0.3887164909 1
11.1%
ValueCountFrequency (%)
-1.708185069 1
11.1%
-0.5451099902 1
11.1%
-0.3887164909 1
11.1%
0.391843688 1
11.1%
0.7433121295 1
11.1%
ValueCountFrequency (%)
1.758417857 1
11.1%
1.226422165 1
11.1%
0.8181728004 1
11.1%
0.7448964184 1
11.1%
0.7433121295 1
11.1%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.131954429
Minimum-0.5501377115
Maximum1.259963502
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:23.504649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5501377115
5-th percentile-0.4872035055
Q1-0.3748043845
median0.03396761235
Q30.1689226233
95-th percentile1.176451613
Maximum1.259963502
Range1.810101214
Interquartile range (IQR)0.5437270078

Descriptive statistics

Standard deviation0.6330121836
Coefficient of variation (CV)4.797203005
Kurtosis-0.07105672175
Mean0.131954429
Median Absolute Deviation (MAD)0.4087719968
Skewness1.011624614
Sum1.187589861
Variance0.4007044246
MonotonicityNot monotonic
2025-03-30T10:53:23.961784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.259963502 1
11.1%
0.1417610356 1
11.1%
-0.3928021965 1
11.1%
-0.3748043845 1
11.1%
1.05118378 1
11.1%
-0.5501377115 1
11.1%
0.03396761235 1
11.1%
0.1689226233 1
11.1%
-0.1504643998 1
11.1%
ValueCountFrequency (%)
-0.5501377115 1
11.1%
-0.3928021965 1
11.1%
-0.3748043845 1
11.1%
-0.1504643998 1
11.1%
0.03396761235 1
11.1%
ValueCountFrequency (%)
1.259963502 1
11.1%
1.05118378 1
11.1%
0.1689226233 1
11.1%
0.1417610356 1
11.1%
0.03396761235 1
11.1%

SPIndusdval
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07737129317
Minimum-1.716541888
Maximum1.268621025
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:24.399932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.716541888
5-th percentile-1.420153359
Q1-0.6072921849
median0.1308934879
Q30.3419050213
95-th percentile1.092924932
Maximum1.268621025
Range2.985162913
Interquartile range (IQR)0.9491972062

Descriptive statistics

Standard deviation0.9192073149
Coefficient of variation (CV)-11.88046984
Kurtosis-0.08687593694
Mean-0.07737129317
Median Absolute Deviation (MAD)0.6984873056
Skewness-0.409120434
Sum-0.6963416386
Variance0.8449420878
MonotonicityNot monotonic
2025-03-30T10:53:24.815152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3419050213 1
11.1%
0.1308934879 1
11.1%
-0.6072921849 1
11.1%
0.8293807936 1
11.1%
-0.2231711715 1
11.1%
-0.9755705659 1
11.1%
0.2554338446 1
11.1%
-1.716541888 1
11.1%
1.268621025 1
11.1%
ValueCountFrequency (%)
-1.716541888 1
11.1%
-0.9755705659 1
11.1%
-0.6072921849 1
11.1%
-0.2231711715 1
11.1%
0.1308934879 1
11.1%
ValueCountFrequency (%)
1.268621025 1
11.1%
0.8293807936 1
11.1%
0.3419050213 1
11.1%
0.2554338446 1
11.1%
0.1308934879 1
11.1%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09072078615
Minimum-1.540085975
Maximum2.489461081
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:25.223402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.540085975
5-th percentile-1.440338593
Q1-0.7838281299
median0.2523179057
Q30.5373602814
95-th percentile1.762597128
Maximum2.489461081
Range4.029547056
Interquartile range (IQR)1.321188411

Descriptive statistics

Standard deviation1.214927459
Coefficient of variation (CV)13.39194148
Kurtosis0.9100074826
Mean0.09072078615
Median Absolute Deviation (MAD)0.4199832919
Skewness0.5831790748
Sum0.8164870754
Variance1.476048731
MonotonicityNot monotonic
2025-03-30T10:53:25.694252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.001734356742 1
11.1%
2.489461081 1
11.1%
0.4779438773 1
11.1%
-0.7838281299 1
11.1%
0.6723011976 1
11.1%
0.5373602814 1
11.1%
-1.540085975 1
11.1%
0.2523179057 1
11.1%
-1.29071752 1
11.1%
ValueCountFrequency (%)
-1.540085975 1
11.1%
-1.29071752 1
11.1%
-0.7838281299 1
11.1%
0.001734356742 1
11.1%
0.2523179057 1
11.1%
ValueCountFrequency (%)
2.489461081 1
11.1%
0.6723011976 1
11.1%
0.5373602814 1
11.1%
0.4779438773 1
11.1%
0.2523179057 1
11.1%

SPIndspindx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06917103395
Minimum-1.663753195
Maximum0.8246673344
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:26.225865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.663753195
5-th percentile-1.24385536
Q1-0.336897988
median-0.0304403315
Q30.4624653058
95-th percentile0.7268399373
Maximum0.8246673344
Range2.488420529
Interquartile range (IQR)0.7993632938

Descriptive statistics

Standard deviation0.7518580976
Coefficient of variation (CV)-10.86955124
Kurtosis1.686394086
Mean-0.06917103395
Median Absolute Deviation (MAD)0.4929056373
Skewness-1.158253696
Sum-0.6225393056
Variance0.5652905989
MonotonicityNot monotonic
2025-03-30T10:53:26.679501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.4624653058 1
11.1%
0.8246673344 1
11.1%
-1.663753195 1
11.1%
-0.6140086071 1
11.1%
-0.100309641 1
11.1%
-0.0304403315 1
11.1%
-0.336897988 1
11.1%
0.2556389751 1
11.1%
0.5800988416 1
11.1%
ValueCountFrequency (%)
-1.663753195 1
11.1%
-0.6140086071 1
11.1%
-0.336897988 1
11.1%
-0.100309641 1
11.1%
-0.0304403315 1
11.1%
ValueCountFrequency (%)
0.8246673344 1
11.1%
0.5800988416 1
11.1%
0.4624653058 1
11.1%
0.2556389751 1
11.1%
-0.0304403315 1
11.1%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3528072222
Minimum-1.484887898
Maximum0.7014968681
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:27.182139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.484887898
5-th percentile-1.439479486
Q1-1.269100055
median-0.01208201044
Q30.1830602204
95-th percentile0.5721264393
Maximum0.7014968681
Range2.186384766
Interquartile range (IQR)1.452160275

Descriptive statistics

Standard deviation0.826135336
Coefficient of variation (CV)-2.341605511
Kurtosis-1.638493419
Mean-0.3528072222
Median Absolute Deviation (MAD)0.4299248215
Skewness-0.3993459407
Sum-3.175265
Variance0.6824995933
MonotonicityNot monotonic
2025-03-30T10:53:27.720925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.01208201044 1
11.1%
-1.484887898 1
11.1%
0.1415507791 1
11.1%
0.7014968681 1
11.1%
0.378070796 1
11.1%
-0.442006832 1
11.1%
0.1830602204 1
11.1%
-1.269100055 1
11.1%
-1.371366868 1
11.1%
ValueCountFrequency (%)
-1.484887898 1
11.1%
-1.371366868 1
11.1%
-1.269100055 1
11.1%
-0.442006832 1
11.1%
-0.01208201044 1
11.1%
ValueCountFrequency (%)
0.7014968681 1
11.1%
0.378070796 1
11.1%
0.1830602204 1
11.1%
0.1415507791 1
11.1%
-0.01208201044 1
11.1%

SPporvwretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2509618126
Minimum-1.867344569
Maximum2.571070157
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:28.211624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.867344569
5-th percentile-1.355119953
Q1-0.3807944311
median0.126000519
Q30.6513450124
95-th percentile2.274625962
Maximum2.571070157
Range4.438414725
Interquartile range (IQR)1.032139443

Descriptive statistics

Standard deviation1.31709377
Coefficient of variation (CV)5.248184003
Kurtosis0.418054467
Mean0.2509618126
Median Absolute Deviation (MAD)0.5253444933
Skewness0.424460108
Sum2.258656313
Variance1.734735999
MonotonicityNot monotonic
2025-03-30T10:53:28.795941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1386458947 1
11.1%
0.126000519 1
11.1%
-0.5867830295 1
11.1%
0.6513450124 1
11.1%
2.571070157 1
11.1%
-0.3807944311 1
11.1%
-0.2234429099 1
11.1%
-1.867344569 1
11.1%
1.82995967 1
11.1%
ValueCountFrequency (%)
-1.867344569 1
11.1%
-0.5867830295 1
11.1%
-0.3807944311 1
11.1%
-0.2234429099 1
11.1%
0.126000519 1
11.1%
ValueCountFrequency (%)
2.571070157 1
11.1%
1.82995967 1
11.1%
0.6513450124 1
11.1%
0.1386458947 1
11.1%
0.126000519 1
11.1%

SPporvwretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8111380992
Minimum0.04541117312
Maximum1.823491469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size144.0 B
2025-03-30T10:53:29.291607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.04541117312
5-th percentile0.05599236965
Q10.2519253633
median0.5897814755
Q31.21727509
95-th percentile1.821299281
Maximum1.823491469
Range1.778080296
Interquartile range (IQR)0.9653497266

Descriptive statistics

Standard deviation0.7046824823
Coefficient of variation (CV)0.8687577159
Kurtosis-1.431270579
Mean0.8111380992
Median Absolute Deviation (MAD)0.5179173111
Skewness0.4732205302
Sum7.300242892
Variance0.4965774009
MonotonicityNot monotonic
2025-03-30T10:53:29.784230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3774647191 1
11.1%
0.07186416446 1
11.1%
0.2519253633 1
11.1%
1.823491469 1
11.1%
1.818010999 1
11.1%
0.5897814755 1
11.1%
1.21727509 1
11.1%
0.04541117312 1
11.1%
1.105018439 1
11.1%
ValueCountFrequency (%)
0.04541117312 1
11.1%
0.07186416446 1
11.1%
0.2519253633 1
11.1%
0.3774647191 1
11.1%
0.5897814755 1
11.1%
ValueCountFrequency (%)
1.823491469 1
11.1%
1.818010999 1
11.1%
1.21727509 1
11.1%
1.105018439 1
11.1%
0.5897814755 1
11.1%

SPporewretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07587641848
Minimum-1.333651583
Maximum1.516742288
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:30.276694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.333651583
5-th percentile-1.088298037
Q1-0.52305724
median-0.299813457
Q30.5920402367
95-th percentile1.151919012
Maximum1.516742288
Range2.850393871
Interquartile range (IQR)1.115097477

Descriptive statistics

Standard deviation0.8499024812
Coefficient of variation (CV)-11.20114125
Kurtosis0.341879603
Mean-0.07587641848
Median Absolute Deviation (MAD)0.4204542614
Skewness0.594875563
Sum-0.6828877663
Variance0.7223342276
MonotonicityNot monotonic
2025-03-30T10:53:30.723284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.516742288 1
11.1%
0.5920402367 1
11.1%
-0.7202677184 1
11.1%
-1.333651583 1
11.1%
-0.52305724 1
11.1%
-0.1650073614 1
11.1%
0.6046840969 1
11.1%
-0.299813457 1
11.1%
-0.3545570287 1
11.1%
ValueCountFrequency (%)
-1.333651583 1
11.1%
-0.7202677184 1
11.1%
-0.52305724 1
11.1%
-0.3545570287 1
11.1%
-0.299813457 1
11.1%
ValueCountFrequency (%)
1.516742288 1
11.1%
0.6046840969 1
11.1%
0.5920402367 1
11.1%
-0.1650073614 1
11.1%
-0.299813457 1
11.1%

SPporewretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1623913827
Minimum-1.065335694
Maximum1.657142465
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:31.185569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.065335694
5-th percentile-0.925884948
Q1-0.6927016366
median0.07226190097
Q31.038936761
95-th percentile1.43439012
Maximum1.657142465
Range2.722478159
Interquartile range (IQR)1.731638398

Descriptive statistics

Standard deviation0.9574005081
Coefficient of variation (CV)5.895636162
Kurtosis-1.421831834
Mean0.1623913827
Median Absolute Deviation (MAD)0.7889707299
Skewness0.2791674911
Sum1.461522444
Variance0.9166157329
MonotonicityNot monotonic
2025-03-30T10:53:31.631139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.4123843948 1
11.1%
0.480050268 1
11.1%
1.657142465 1
11.1%
1.038936761 1
11.1%
-0.7167088289 1
11.1%
1.100261603 1
11.1%
0.07226190097 1
11.1%
-1.065335694 1
11.1%
-0.6927016366 1
11.1%
ValueCountFrequency (%)
-1.065335694 1
11.1%
-0.7167088289 1
11.1%
-0.6927016366 1
11.1%
-0.4123843948 1
11.1%
0.07226190097 1
11.1%
ValueCountFrequency (%)
1.657142465 1
11.1%
1.100261603 1
11.1%
1.038936761 1
11.1%
0.480050268 1
11.1%
0.07226190097 1
11.1%

SPportotval
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4060777848
Minimum-1.335052095
Maximum0.6902663992
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:32.076952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.335052095
5-th percentile-1.237098397
Q1-0.9808584364
median-0.4942074548
Q3-0.06930202937
95-th percentile0.5949813427
Maximum0.6902663992
Range2.025318495
Interquartile range (IQR)0.9115564071

Descriptive statistics

Standard deviation0.6835994762
Coefficient of variation (CV)-1.683420029
Kurtosis-0.8021519051
Mean-0.4060777848
Median Absolute Deviation (MAD)0.4866509816
Skewness0.3396254468
Sum-3.654700064
Variance0.4673082439
MonotonicityNot monotonic
2025-03-30T10:53:32.530800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.06930202937 1
11.1%
0.6902663992 1
11.1%
0.4520537581 1
11.1%
-0.9808584364 1
11.1%
-0.4942074548 1
11.1%
-0.3202846128 1
11.1%
-1.335052095 1
11.1%
-1.090167849 1
11.1%
-0.5071477428 1
11.1%
ValueCountFrequency (%)
-1.335052095 1
11.1%
-1.090167849 1
11.1%
-0.9808584364 1
11.1%
-0.5071477428 1
11.1%
-0.4942074548 1
11.1%
ValueCountFrequency (%)
0.6902663992 1
11.1%
0.4520537581 1
11.1%
-0.06930202937 1
11.1%
-0.3202846128 1
11.1%
-0.4942074548 1
11.1%

SPportotcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2645878335
Minimum-0.490221592
Maximum1.018209585
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:33.009828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.490221592
5-th percentile-0.394253339
Q1-0.1101086843
median0.1796285995
Q30.7642980809
95-th percentile0.9616415726
Maximum1.018209585
Range1.508431177
Interquartile range (IQR)0.8744067652

Descriptive statistics

Standard deviation0.5227072918
Coefficient of variation (CV)1.975553014
Kurtosis-1.198140988
Mean0.2645878335
Median Absolute Deviation (MAD)0.429929559
Skewness0.1817665381
Sum2.381290501
Variance0.2732229129
MonotonicityNot monotonic
2025-03-30T10:53:33.452156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.8767895546 1
11.1%
0.7642980809 1
11.1%
0.2247869027 1
11.1%
1.018209585 1
11.1%
0.1682090147 1
11.1%
-0.490221592 1
11.1%
-0.2503009596 1
11.1%
-0.1101086843 1
11.1%
0.1796285995 1
11.1%
ValueCountFrequency (%)
-0.490221592 1
11.1%
-0.2503009596 1
11.1%
-0.1101086843 1
11.1%
0.1682090147 1
11.1%
0.1796285995 1
11.1%
ValueCountFrequency (%)
1.018209585 1
11.1%
0.8767895546 1
11.1%
0.7642980809 1
11.1%
0.2247869027 1
11.1%
0.1796285995 1
11.1%

SPporusdval
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08244271615
Minimum-0.5499502194
Maximum1.259347128
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:33.881717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5499502194
5-th percentile-0.5487798321
Q1-0.4433207703
median0.1948049152
Q30.325339296
95-th percentile0.8909383524
Maximum1.259347128
Range1.809297348
Interquartile range (IQR)0.7686600663

Descriptive statistics

Standard deviation0.576649108
Coefficient of variation (CV)6.994542816
Kurtosis1.053345084
Mean0.08244271615
Median Absolute Deviation (MAD)0.2934225588
Skewness0.8506690882
Sum0.7419844453
Variance0.3325241938
MonotonicityNot monotonic
2025-03-30T10:53:34.346841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.2630808017 1
11.1%
0.325339296 1
11.1%
-0.5499502194 1
11.1%
0.3383251888 1
11.1%
0.1948049152 1
11.1%
1.259347128 1
11.1%
-0.547024251 1
11.1%
-0.09861764364 1
11.1%
-0.4433207703 1
11.1%
ValueCountFrequency (%)
-0.5499502194 1
11.1%
-0.547024251 1
11.1%
-0.4433207703 1
11.1%
-0.09861764364 1
11.1%
0.1948049152 1
11.1%
ValueCountFrequency (%)
1.259347128 1
11.1%
0.3383251888 1
11.1%
0.325339296 1
11.1%
0.2630808017 1
11.1%
0.1948049152 1
11.1%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1065305421
Minimum-1.411851708
Maximum1.573412148
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:34.777330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.411851708
5-th percentile-1.194832841
Q1-0.2605005894
median-0.2221099619
Q30.1118967045
95-th percentile1.09169675
Maximum1.573412148
Range2.985263856
Interquartile range (IQR)0.3723972939

Descriptive statistics

Standard deviation0.8250447564
Coefficient of variation (CV)-7.744678102
Kurtosis1.938477902
Mean-0.1065305421
Median Absolute Deviation (MAD)0.3340066664
Skewness0.6251834961
Sum-0.9587748787
Variance0.68069885
MonotonicityNot monotonic
2025-03-30T10:53:35.197775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2605005894 1
11.1%
0.3691236543 1
11.1%
-0.01067786427 1
11.1%
1.573412148 1
11.1%
-0.8693045412 1
11.1%
0.1118967045 1
11.1%
-1.411851708 1
11.1%
-0.2387627199 1
11.1%
-0.2221099619 1
11.1%
ValueCountFrequency (%)
-1.411851708 1
11.1%
-0.8693045412 1
11.1%
-0.2605005894 1
11.1%
-0.2387627199 1
11.1%
-0.2221099619 1
11.1%
ValueCountFrequency (%)
1.573412148 1
11.1%
0.3691236543 1
11.1%
0.1118967045 1
11.1%
-0.01067786427 1
11.1%
-0.2221099619 1
11.1%

SPporspindx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4629079545
Minimum-1.741390606
Maximum0.7215808951
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:35.581476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.741390606
5-th percentile-1.682988324
Q1-0.9763796485
median-0.2000805658
Q30.002661158127
95-th percentile0.4488915537
Maximum0.7215808951
Range2.462971501
Interquartile range (IQR)0.9790408066

Descriptive statistics

Standard deviation0.8125310102
Coefficient of variation (CV)-1.755275541
Kurtosis-0.5828061233
Mean-0.4629079545
Median Absolute Deviation (MAD)0.2399381074
Skewness-0.5134193536
Sum-4.16617159
Variance0.6602066425
MonotonicityNot monotonic
2025-03-30T10:53:35.997922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.741390606 1
11.1%
0.03985754158 1
11.1%
-0.2000805658 1
11.1%
-0.9763796485 1
11.1%
-0.08618733582 1
11.1%
0.7215808951 1
11.1%
-0.3308481286 1
11.1%
0.002661158127 1
11.1%
-1.5953849 1
11.1%
ValueCountFrequency (%)
-1.741390606 1
11.1%
-1.5953849 1
11.1%
-0.9763796485 1
11.1%
-0.3308481286 1
11.1%
-0.2000805658 1
11.1%
ValueCountFrequency (%)
0.7215808951 1
11.1%
0.03985754158 1
11.1%
0.002661158127 1
11.1%
-0.08618733582 1
11.1%
-0.2000805658 1
11.1%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5654518227
Minimum-0.521001939
Maximum1.885382316
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:53:36.395638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.521001939
5-th percentile-0.4276430571
Q10.1904253551
median0.611757576
Q30.8250185797
95-th percentile1.7024537
Maximum1.885382316
Range2.406384255
Interquartile range (IQR)0.6345932247

Descriptive statistics

Standard deviation0.7648851633
Coefficient of variation (CV)1.352697317
Kurtosis-0.2353458066
Mean0.5654518227
Median Absolute Deviation (MAD)0.4213322209
Skewness0.3540975559
Sum5.089066405
Variance0.585049313
MonotonicityNot monotonic
2025-03-30T10:53:36.783743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3042783916 1
11.1%
1.428060777 1
11.1%
-0.2876047342 1
11.1%
0.611757576 1
11.1%
-0.521001939 1
11.1%
1.885382316 1
11.1%
0.8250185797 1
11.1%
0.6527500823 1
11.1%
0.1904253551 1
11.1%
ValueCountFrequency (%)
-0.521001939 1
11.1%
-0.2876047342 1
11.1%
0.1904253551 1
11.1%
0.3042783916 1
11.1%
0.611757576 1
11.1%
ValueCountFrequency (%)
1.885382316 1
11.1%
1.428060777 1
11.1%
0.8250185797 1
11.1%
0.6527500823 1
11.1%
0.611757576 1
11.1%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5251657824
Minimum-1.933637041
Maximum0.696759143
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:37.196751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.933637041
5-th percentile-1.754412653
Q1-1.063463367
median-0.2645842469
Q3-0.0208962766
95-th percentile0.6124709585
Maximum0.696759143
Range2.630396184
Interquartile range (IQR)1.042567091

Descriptive statistics

Standard deviation0.8833988012
Coefficient of variation (CV)-1.682133206
Kurtosis-0.9481820513
Mean-0.5251657824
Median Absolute Deviation (MAD)0.7506229285
Skewness-0.2004234697
Sum-4.726492042
Variance0.7803934419
MonotonicityNot monotonic
2025-03-30T10:53:37.620949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.0208962766 1
11.1%
-0.2502102728 1
11.1%
-0.890922592 1
11.1%
-1.063463367 1
11.1%
-0.2645842469 1
11.1%
0.4860386816 1
11.1%
-1.933637041 1
11.1%
0.696759143 1
11.1%
-1.48557607 1
11.1%
ValueCountFrequency (%)
-1.933637041 1
11.1%
-1.48557607 1
11.1%
-1.063463367 1
11.1%
-0.890922592 1
11.1%
-0.2645842469 1
11.1%
ValueCountFrequency (%)
0.696759143 1
11.1%
0.4860386816 1
11.1%
-0.0208962766 1
11.1%
-0.2502102728 1
11.1%
-0.2645842469 1
11.1%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3223209501
Minimum-1.602907562
Maximum1.29418535
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:37.989777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.602907562
5-th percentile-1.499173131
Q1-1.07647681
median-0.4430533998
Q30.03984232219
95-th percentile1.264691019
Maximum1.29418535
Range2.897092911
Interquartile range (IQR)1.116319132

Descriptive statistics

Standard deviation1.038683335
Coefficient of variation (CV)-3.222512637
Kurtosis-0.7371130418
Mean-0.3223209501
Median Absolute Deviation (MAD)0.6334234102
Skewness0.608663398
Sum-2.900888551
Variance1.07886307
MonotonicityNot monotonic
2025-03-30T10:53:38.366884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.1939185419 1
11.1%
0.03984232219 1
11.1%
-1.07647681 1
11.1%
-1.343571484 1
11.1%
-0.7954379476 1
11.1%
1.29418535 1
11.1%
-0.4430533998 1
11.1%
1.220449522 1
11.1%
-1.602907562 1
11.1%
ValueCountFrequency (%)
-1.602907562 1
11.1%
-1.343571484 1
11.1%
-1.07647681 1
11.1%
-0.7954379476 1
11.1%
-0.4430533998 1
11.1%
ValueCountFrequency (%)
1.29418535 1
11.1%
1.220449522 1
11.1%
0.03984232219 1
11.1%
-0.1939185419 1
11.1%
-0.4430533998 1
11.1%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6418716932
Minimum-0.2907372198
Maximum2.569506152
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)11.1%
Memory size144.0 B
2025-03-30T10:53:38.746308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.2907372198
5-th percentile-0.1117809092
Q10.1940550664
median0.4088790006
Q30.8318276221
95-th percentile1.978672492
Maximum2.569506152
Range2.860243372
Interquartile range (IQR)0.6377725558

Descriptive statistics

Standard deviation0.8242039664
Coefficient of variation (CV)1.284063428
Kurtosis3.969185095
Mean0.6418716932
Median Absolute Deviation (MAD)0.252225444
Skewness1.779862863
Sum5.776845239
Variance0.6793121782
MonotonicityNot monotonic
2025-03-30T10:53:39.150713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2907372198 1
11.1%
0.8318276221 1
11.1%
0.4756960322 1
11.1%
0.4088790006 1
11.1%
0.3385430257 1
11.1%
2.569506152 1
11.1%
0.1940550664 1
11.1%
1.092422002 1
11.1%
0.1566535566 1
11.1%
ValueCountFrequency (%)
-0.2907372198 1
11.1%
0.1566535566 1
11.1%
0.1940550664 1
11.1%
0.3385430257 1
11.1%
0.4088790006 1
11.1%
ValueCountFrequency (%)
2.569506152 1
11.1%
1.092422002 1
11.1%
0.8318276221 1
11.1%
0.4756960322 1
11.1%
0.4088790006 1
11.1%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02772664993
Minimum-1.235374907
Maximum1.717331114
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:39.547775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.235374907
5-th percentile-1.224940081
Q1-1.000602381
median-0.4536388489
Q31.228137599
95-th percentile1.639689351
Maximum1.717331114
Range2.952706021
Interquartile range (IQR)2.22873998

Descriptive statistics

Standard deviation1.204649321
Coefficient of variation (CV)43.44734486
Kurtosis-1.825365587
Mean0.02772664993
Median Absolute Deviation (MAD)0.7817360582
Skewness0.4085625247
Sum0.2495398493
Variance1.451179987
MonotonicityNot monotonic
2025-03-30T10:53:39.970765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.4536388489 1
11.1%
-1.000602381 1
11.1%
1.717331114 1
11.1%
-0.7040876356 1
11.1%
1.228137599 1
11.1%
-1.209287842 1
11.1%
-1.235374907 1
11.1%
1.523226707 1
11.1%
0.3838360435 1
11.1%
ValueCountFrequency (%)
-1.235374907 1
11.1%
-1.209287842 1
11.1%
-1.000602381 1
11.1%
-0.7040876356 1
11.1%
-0.4536388489 1
11.1%
ValueCountFrequency (%)
1.717331114 1
11.1%
1.523226707 1
11.1%
1.228137599 1
11.1%
0.3838360435 1
11.1%
-0.4536388489 1
11.1%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03717953489
Minimum-2.012621917
Maximum1.030299214
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:40.418843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.012621917
5-th percentile-1.409863551
Q1-0.5024197801
median0.5624842336
Q30.7239665196
95-th percentile0.9199958402
Maximum1.030299214
Range3.04292113
Interquartile range (IQR)1.2263863

Descriptive statistics

Standard deviation0.9770991663
Coefficient of variation (CV)26.28056454
Kurtosis1.179086818
Mean0.03717953489
Median Absolute Deviation (MAD)0.46781498
Skewness-1.19348449
Sum0.334615814
Variance0.9547227807
MonotonicityNot monotonic
2025-03-30T10:53:40.865990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.3963182972 1
11.1%
0.75454078 1
11.1%
-2.012621917 1
11.1%
-0.5057260029 1
11.1%
0.5624842336 1
11.1%
0.7239665196 1
11.1%
1.030299214 1
11.1%
0.6804110639 1
11.1%
-0.5024197801 1
11.1%
ValueCountFrequency (%)
-2.012621917 1
11.1%
-0.5057260029 1
11.1%
-0.5024197801 1
11.1%
-0.3963182972 1
11.1%
0.5624842336 1
11.1%
ValueCountFrequency (%)
1.030299214 1
11.1%
0.75454078 1
11.1%
0.7239665196 1
11.1%
0.6804110639 1
11.1%
0.5624842336 1
11.1%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5969729831
Minimum-2.322181344
Maximum2.54346266
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:41.326796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.322181344
5-th percentile-1.707390124
Q1-0.5465763122
median0.9108638143
Q31.178796328
95-th percentile2.527262626
Maximum2.54346266
Range4.865644004
Interquartile range (IQR)1.72537264

Descriptive statistics

Standard deviation1.576594911
Coefficient of variation (CV)2.640982014
Kurtosis0.01164712395
Mean0.5969729831
Median Absolute Deviation (MAD)1.457440127
Skewness-0.588652667
Sum5.372756848
Variance2.485651514
MonotonicityNot monotonic
2025-03-30T10:53:41.759906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-2.322181344 1
11.1%
2.502962576 1
11.1%
0.9108638143 1
11.1%
-0.7852032935 1
11.1%
1.178796328 1
11.1%
2.54346266 1
11.1%
1.094117459 1
11.1%
-0.5465763122 1
11.1%
0.7965149608 1
11.1%
ValueCountFrequency (%)
-2.322181344 1
11.1%
-0.7852032935 1
11.1%
-0.5465763122 1
11.1%
0.7965149608 1
11.1%
0.9108638143 1
11.1%
ValueCountFrequency (%)
2.54346266 1
11.1%
2.502962576 1
11.1%
1.178796328 1
11.1%
1.094117459 1
11.1%
0.9108638143 1
11.1%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6260562219
Minimum-1.903320477
Maximum1.491168314
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:53:42.163861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.903320477
5-th percentile-1.898549667
Q1-1.330028541
median-0.808661504
Q3-0.1939142257
95-th percentile1.092403158
Maximum1.491168314
Range3.394488791
Interquartile range (IQR)1.136114315

Descriptive statistics

Standard deviation1.121431385
Coefficient of variation (CV)-1.791263062
Kurtosis0.04638559907
Mean-0.6260562219
Median Absolute Deviation (MAD)0.6147472783
Skewness0.7275666368
Sum-5.634505997
Variance1.257608352
MonotonicityNot monotonic
2025-03-30T10:53:42.668398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.491168314 1
11.1%
0.4942554229 1
11.1%
-1.891393453 1
11.1%
-1.330028541 1
11.1%
-1.903320477 1
11.1%
-0.808661504 1
11.1%
-0.1939142257 1
11.1%
-1.162273483 1
11.1%
-0.3303380496 1
11.1%
ValueCountFrequency (%)
-1.903320477 1
11.1%
-1.891393453 1
11.1%
-1.330028541 1
11.1%
-1.162273483 1
11.1%
-0.808661504 1
11.1%
ValueCountFrequency (%)
1.491168314 1
11.1%
0.4942554229 1
11.1%
-0.1939142257 1
11.1%
-0.3303380496 1
11.1%
-0.808661504 1
11.1%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5465196081
Minimum-0.262782962
Maximum1.722414294
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)11.1%
Memory size144.0 B
2025-03-30T10:53:43.254920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.262782962
5-th percentile-0.07781459289
Q10.3497765192
median0.5303690609
Q30.6228788238
95-th percentile1.346032935
Maximum1.722414294
Range1.985197256
Interquartile range (IQR)0.2731023046

Descriptive statistics

Standard deviation0.5335098089
Coefficient of variation (CV)0.9761951831
Kurtosis3.232379392
Mean0.5465196081
Median Absolute Deviation (MAD)0.1805925417
Skewness1.11907137
Sum4.918676473
Variance0.2846327162
MonotonicityNot monotonic
2025-03-30T10:53:44.367997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7814608959 1
11.1%
0.5303690609 1
11.1%
0.6228788238 1
11.1%
0.5651243674 1
11.1%
0.4097975131 1
11.1%
-0.262782962 1
11.1%
1.722414294 1
11.1%
0.1996379607 1
11.1%
0.3497765192 1
11.1%
ValueCountFrequency (%)
-0.262782962 1
11.1%
0.1996379607 1
11.1%
0.3497765192 1
11.1%
0.4097975131 1
11.1%
0.5303690609 1
11.1%
ValueCountFrequency (%)
1.722414294 1
11.1%
0.7814608959 1
11.1%
0.6228788238 1
11.1%
0.5651243674 1
11.1%
0.5303690609 1
11.1%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5854272942
Minimum-0.9396984196
Maximum2.305163859
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:53:44.848346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9396984196
5-th percentile-0.7208437291
Q10.1024750306
median0.4752768712
Q30.8676550632
95-th percentile2.167395897
Maximum2.305163859
Range3.244862278
Interquartile range (IQR)0.7651800325

Descriptive statistics

Standard deviation1.032280886
Coefficient of variation (CV)1.763294769
Kurtosis-0.1566851432
Mean0.5854272942
Median Absolute Deviation (MAD)0.392378192
Skewness0.4522546478
Sum5.268845648
Variance1.065603827
MonotonicityNot monotonic
2025-03-30T10:53:45.293205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1024750306 1
11.1%
0.8676550632 1
11.1%
-0.3925616933 1
11.1%
0.5649851583 1
11.1%
-0.9396984196 1
11.1%
0.3248058252 1
11.1%
0.4752768712 1
11.1%
1.960743953 1
11.1%
2.305163859 1
11.1%
ValueCountFrequency (%)
-0.9396984196 1
11.1%
-0.3925616933 1
11.1%
0.1024750306 1
11.1%
0.3248058252 1
11.1%
0.4752768712 1
11.1%
ValueCountFrequency (%)
2.305163859 1
11.1%
1.960743953 1
11.1%
0.8676550632 1
11.1%
0.5649851583 1
11.1%
0.4752768712 1
11.1%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03584974966
Minimum-0.8745237927
Maximum1.173510858
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:45.722560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8745237927
5-th percentile-0.8334241344
Q1-0.5315858835
median0.1623545608
Q30.1916696368
95-th percentile1.096401408
Maximum1.173510858
Range2.048034651
Interquartile range (IQR)0.7232555203

Descriptive statistics

Standard deviation0.7152592338
Coefficient of variation (CV)19.95158239
Kurtosis-0.7936057745
Mean0.03584974966
Median Absolute Deviation (MAD)0.6939404443
Skewness0.3736261748
Sum0.3226477469
Variance0.5115957715
MonotonicityNot monotonic
2025-03-30T10:53:46.121499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.173510858 1
11.1%
-0.8745237927 1
11.1%
0.1916696368 1
11.1%
0.1623545608 1
11.1%
-0.175948624 1
11.1%
0.1682084062 1
11.1%
-0.771774647 1
11.1%
-0.5315858835 1
11.1%
0.9807372319 1
11.1%
ValueCountFrequency (%)
-0.8745237927 1
11.1%
-0.771774647 1
11.1%
-0.5315858835 1
11.1%
-0.175948624 1
11.1%
0.1623545608 1
11.1%
ValueCountFrequency (%)
1.173510858 1
11.1%
0.9807372319 1
11.1%
0.1916696368 1
11.1%
0.1682084062 1
11.1%
0.1623545608 1
11.1%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2692742618
Minimum-2.032388813
Maximum0.7730009294
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:46.553701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.032388813
5-th percentile-1.809088662
Q1-0.6024191007
median-0.1126463169
Q30.685085372
95-th percentile0.7448209167
Maximum0.7730009294
Range2.805389742
Interquartile range (IQR)1.287504473

Descriptive statistics

Standard deviation0.9893501598
Coefficient of variation (CV)-3.674135631
Kurtosis-0.4590049297
Mean-0.2692742618
Median Absolute Deviation (MAD)0.7977316889
Skewness-0.7128660371
Sum-2.423468356
Variance0.9788137388
MonotonicityNot monotonic
2025-03-30T10:53:46.982782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.6024191007 1
11.1%
0.1167731 1
11.1%
-0.1126463169 1
11.1%
0.685085372 1
11.1%
0.7730009294 1
11.1%
0.7025508977 1
11.1%
-0.4792859895 1
11.1%
-1.474138435 1
11.1%
-2.032388813 1
11.1%
ValueCountFrequency (%)
-2.032388813 1
11.1%
-1.474138435 1
11.1%
-0.6024191007 1
11.1%
-0.4792859895 1
11.1%
-0.1126463169 1
11.1%
ValueCountFrequency (%)
0.7730009294 1
11.1%
0.7025508977 1
11.1%
0.685085372 1
11.1%
0.1167731 1
11.1%
-0.1126463169 1
11.1%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2240236314
Minimum-1.024397375
Maximum0.7970989969
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:47.428597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.024397375
5-th percentile-0.9505735731
Q1-0.8114661318
median-0.3517071564
Q30.2722673844
95-th percentile0.5881545897
Maximum0.7970989969
Range1.821496372
Interquartile range (IQR)1.083733516

Descriptive statistics

Standard deviation0.6125138689
Coefficient of variation (CV)-2.734148469
Kurtosis-0.9791559404
Mean-0.2240236314
Median Absolute Deviation (MAD)0.4881307144
Skewness0.2611760077
Sum-2.016212683
Variance0.3751732397
MonotonicityNot monotonic
2025-03-30T10:53:47.889474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.3611091192 1
11.1%
-0.8398378708 1
11.1%
0.7970989969 1
11.1%
0.02820060971 1
11.1%
0.2722673844 1
11.1%
-0.3517071564 1
11.1%
-0.8114661318 1
11.1%
0.274737979 1
11.1%
-1.024397375 1
11.1%
ValueCountFrequency (%)
-1.024397375 1
11.1%
-0.8398378708 1
11.1%
-0.8114661318 1
11.1%
-0.3611091192 1
11.1%
-0.3517071564 1
11.1%
ValueCountFrequency (%)
0.7970989969 1
11.1%
0.274737979 1
11.1%
0.2722673844 1
11.1%
0.02820060971 1
11.1%
-0.3517071564 1
11.1%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2145099681
Minimum-1.991887265
Maximum1.587094159
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:48.469252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.991887265
5-th percentile-1.708465291
Q1-0.3049385661
median0.6149121542
Q30.9454507783
95-th percentile1.44170967
Maximum1.587094159
Range3.578981424
Interquartile range (IQR)1.250389344

Descriptive statistics

Standard deviation1.187473956
Coefficient of variation (CV)5.535751866
Kurtosis-0.02167380785
Mean0.2145099681
Median Absolute Deviation (MAD)0.6087207834
Skewness-0.9627511171
Sum1.930589713
Variance1.410094396
MonotonicityNot monotonic
2025-03-30T10:53:48.884014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.223632938 1
11.1%
1.587094159 1
11.1%
0.4120441621 1
11.1%
0.9454507783 1
11.1%
-0.3049385661 1
11.1%
0.6149121542 1
11.1%
-1.991887265 1
11.1%
-1.283332331 1
11.1%
0.7276136837 1
11.1%
ValueCountFrequency (%)
-1.991887265 1
11.1%
-1.283332331 1
11.1%
-0.3049385661 1
11.1%
0.4120441621 1
11.1%
0.6149121542 1
11.1%
ValueCountFrequency (%)
1.587094159 1
11.1%
1.223632938 1
11.1%
0.9454507783 1
11.1%
0.7276136837 1
11.1%
0.6149121542 1
11.1%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05721109534
Minimum-0.8273268016
Maximum0.7972091196
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:49.405415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8273268016
5-th percentile-0.7791019969
Q1-0.6833634608
median0.3145775474
Q30.3632872763
95-th percentile0.6789499087
Maximum0.7972091196
Range1.624535921
Interquartile range (IQR)1.046650737

Descriptive statistics

Standard deviation0.6315523355
Coefficient of variation (CV)-11.03898346
Kurtosis-2.103493238
Mean-0.05721109534
Median Absolute Deviation (MAD)0.4826315722
Skewness-0.09725473334
Sum-0.5148998581
Variance0.3988583525
MonotonicityNot monotonic
2025-03-30T10:53:49.875554image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7972091196 1
11.1%
0.3145775474 1
11.1%
0.5015610924 1
11.1%
-0.8273268016 1
11.1%
-0.6833634608 1
11.1%
-0.5918753924 1
11.1%
-0.7067647897 1
11.1%
0.3632872763 1
11.1%
0.3177955507 1
11.1%
ValueCountFrequency (%)
-0.8273268016 1
11.1%
-0.7067647897 1
11.1%
-0.6833634608 1
11.1%
-0.5918753924 1
11.1%
0.3145775474 1
11.1%
ValueCountFrequency (%)
0.7972091196 1
11.1%
0.5015610924 1
11.1%
0.3632872763 1
11.1%
0.3177955507 1
11.1%
0.3145775474 1
11.1%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3941825756
Minimum-1.993269051
Maximum2.173165664
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:50.361910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.993269051
5-th percentile-1.410127619
Q1-0.2197482124
median0.6024454129
Q31.253665587
95-th percentile1.824161833
Maximum2.173165664
Range4.166434715
Interquartile range (IQR)1.4734138

Descriptive statistics

Standard deviation1.225856388
Coefficient of variation (CV)3.109869547
Kurtosis0.7277226283
Mean0.3941825756
Median Absolute Deviation (MAD)0.6982106733
Skewness-0.6581404768
Sum3.54764318
Variance1.502723883
MonotonicityNot monotonic
2025-03-30T10:53:50.791904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2197482124 1
11.1%
0.8680652424 1
11.1%
0.6024454129 1
11.1%
-0.5354154703 1
11.1%
0.09807792047 1
11.1%
1.253665587 1
11.1%
-1.993269051 1
11.1%
1.300656086 1
11.1%
2.173165664 1
11.1%
ValueCountFrequency (%)
-1.993269051 1
11.1%
-0.5354154703 1
11.1%
-0.2197482124 1
11.1%
0.09807792047 1
11.1%
0.6024454129 1
11.1%
ValueCountFrequency (%)
2.173165664 1
11.1%
1.300656086 1
11.1%
1.253665587 1
11.1%
0.8680652424 1
11.1%
0.6024454129 1
11.1%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08825361727
Minimum-0.9602982765
Maximum1.218148773
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:51.211506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9602982765
5-th percentile-0.8028516679
Q1-0.5073348565
median-0.09451394037
Q30.100757637
95-th percentile0.8988427543
Maximum1.218148773
Range2.17844705
Interquartile range (IQR)0.6080924935

Descriptive statistics

Standard deviation0.6397231915
Coefficient of variation (CV)-7.24869089
Kurtosis1.269932496
Mean-0.08825361727
Median Absolute Deviation (MAD)0.4128209161
Skewness0.9147974428
Sum-0.7942825555
Variance0.4092457617
MonotonicityNot monotonic
2025-03-30T10:53:51.641420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.9602982765 1
11.1%
0.0008490524646 1
11.1%
1.218148773 1
11.1%
-0.5073348565 1
11.1%
-0.09451394037 1
11.1%
-0.5666817551 1
11.1%
0.4198837261 1
11.1%
0.100757637 1
11.1%
-0.4050929157 1
11.1%
ValueCountFrequency (%)
-0.9602982765 1
11.1%
-0.5666817551 1
11.1%
-0.5073348565 1
11.1%
-0.4050929157 1
11.1%
-0.09451394037 1
11.1%
ValueCountFrequency (%)
1.218148773 1
11.1%
0.4198837261 1
11.1%
0.100757637 1
11.1%
0.0008490524646 1
11.1%
-0.09451394037 1
11.1%

stockvwretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6135119561
Minimum-2.591541257
Maximum0.2115807921
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)88.9%
Memory size144.0 B
2025-03-30T10:53:52.100523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.591541257
5-th percentile-1.954495559
Q1-0.6810176549
median-0.5750877868
Q3-0.07446140678
95-th percentile0.1144857718
Maximum0.2115807921
Range2.803122049
Interquartile range (IQR)0.6065562481

Descriptive statistics

Standard deviation0.8359701218
Coefficient of variation (CV)-1.362597931
Kurtosis4.22508517
Mean-0.6135119561
Median Absolute Deviation (MAD)0.4238392245
Skewness-1.865883549
Sum-5.521607604
Variance0.6988460445
MonotonicityNot monotonic
2025-03-30T10:53:52.499628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.1521404334 1
11.1%
-2.591541257 1
11.1%
-0.03115675859 1
11.1%
-0.9989270113 1
11.1%
-0.6288560875 1
11.1%
-0.07446140678 1
11.1%
-0.6810176549 1
11.1%
0.2115807921 1
11.1%
-0.5750877868 1
11.1%
ValueCountFrequency (%)
-2.591541257 1
11.1%
-0.9989270113 1
11.1%
-0.6810176549 1
11.1%
-0.6288560875 1
11.1%
-0.5750877868 1
11.1%
ValueCountFrequency (%)
0.2115807921 1
11.1%
-0.03115675859 1
11.1%
-0.07446140678 1
11.1%
-0.1521404334 1
11.1%
-0.5750877868 1
11.1%

stockvwretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06739646369
Minimum-2.245229791
Maximum2.981793494
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:53:53.103764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.245229791
5-th percentile-1.745880926
Q1-0.562919728
median-0.1942209145
Q30.8866598686
95-th percentile2.290930635
Maximum2.981793494
Range5.227023285
Interquartile range (IQR)1.449579597

Descriptive statistics

Standard deviation1.494443307
Coefficient of variation (CV)22.17391277
Kurtosis1.053572146
Mean0.06739646369
Median Absolute Deviation (MAD)0.8026367142
Skewness0.622874715
Sum0.6065681732
Variance2.233360798
MonotonicityNot monotonic
2025-03-30T10:53:53.569306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-2.245229791 1
11.1%
2.981793494 1
11.1%
-0.0005597329768 1
11.1%
0.8866598686 1
11.1%
-0.562919728 1
11.1%
1.254636348 1
11.1%
-0.1942209145 1
11.1%
-0.9968576286 1
11.1%
-0.5167337415 1
11.1%
ValueCountFrequency (%)
-2.245229791 1
11.1%
-0.9968576286 1
11.1%
-0.562919728 1
11.1%
-0.5167337415 1
11.1%
-0.1942209145 1
11.1%
ValueCountFrequency (%)
2.981793494 1
11.1%
1.254636348 1
11.1%
0.8866598686 1
11.1%
-0.0005597329768 1
11.1%
-0.1942209145 1
11.1%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5133410638
Minimum-1.920931836
Maximum0.6379986291
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:54.030105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.920931836
5-th percentile-1.799072863
Q1-1.214158755
median-0.3172101025
Q30.235170437
95-th percentile0.5099641635
Maximum0.6379986291
Range2.558930465
Interquartile range (IQR)1.449329192

Descriptive statistics

Standard deviation0.9235927176
Coefficient of variation (CV)-1.799179498
Kurtosis-1.490121042
Mean-0.5133410638
Median Absolute Deviation (MAD)0.6351225676
Skewness-0.354371112
Sum-4.620069574
Variance0.8530235079
MonotonicityNot monotonic
2025-03-30T10:53:54.496128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3179124651 1
11.1%
-0.3172101025 1
11.1%
-1.616284404 1
11.1%
-1.214158755 1
11.1%
-1.920931836 1
11.1%
0.6379986291 1
11.1%
-0.8609683673 1
11.1%
0.235170437 1
11.1%
0.1184023597 1
11.1%
ValueCountFrequency (%)
-1.920931836 1
11.1%
-1.616284404 1
11.1%
-1.214158755 1
11.1%
-0.8609683673 1
11.1%
-0.3172101025 1
11.1%
ValueCountFrequency (%)
0.6379986291 1
11.1%
0.3179124651 1
11.1%
0.235170437 1
11.1%
0.1184023597 1
11.1%
-0.3172101025 1
11.1%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07989335819
Minimum-2.389180696
Maximum0.8464071278
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:53:54.941451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.389180696
5-th percentile-1.966972707
Q10.004199377329
median0.3210266422
Q30.5731985785
95-th percentile0.7854588389
Maximum0.8464071278
Range3.235587824
Interquartile range (IQR)0.5689992012

Descriptive statistics

Standard deviation1.079435604
Coefficient of variation (CV)-13.51095546
Kurtosis1.807778581
Mean-0.07989335819
Median Absolute Deviation (MAD)0.3168272649
Skewness-1.594316029
Sum-0.7190402237
Variance1.165181223
MonotonicityNot monotonic
2025-03-30T10:53:55.352362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.004199377329 1
11.1%
0.6940364055 1
11.1%
-1.333660723 1
11.1%
0.5731985785 1
11.1%
0.3210266422 1
11.1%
0.05579230126 1
11.1%
0.8464071278 1
11.1%
0.5091407623 1
11.1%
-2.389180696 1
11.1%
ValueCountFrequency (%)
-2.389180696 1
11.1%
-1.333660723 1
11.1%
0.004199377329 1
11.1%
0.05579230126 1
11.1%
0.3210266422 1
11.1%
ValueCountFrequency (%)
0.8464071278 1
11.1%
0.6940364055 1
11.1%
0.5731985785 1
11.1%
0.5091407623 1
11.1%
0.3210266422 1
11.1%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1429627912
Minimum-2.036542373
Maximum1.80356134
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:55.815466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.036542373
5-th percentile-1.956760878
Q1-1.561184957
median-0.1923995864
Q31.023636868
95-th percentile1.602460016
Maximum1.80356134
Range3.840103712
Interquartile range (IQR)2.584821825

Descriptive statistics

Standard deviation1.422505834
Coefficient of variation (CV)-9.9501823
Kurtosis-1.568826128
Mean-0.1429627912
Median Absolute Deviation (MAD)1.36878537
Skewness-0.1246167735
Sum-1.28666512
Variance2.023522848
MonotonicityNot monotonic
2025-03-30T10:53:56.718738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.3180258304 1
11.1%
-1.561184957 1
11.1%
-1.837088637 1
11.1%
-0.1923995864 1
11.1%
1.80356134 1
11.1%
1.023636868 1
11.1%
-2.036542373 1
11.1%
1.30080803 1
11.1%
0.530570025 1
11.1%
ValueCountFrequency (%)
-2.036542373 1
11.1%
-1.837088637 1
11.1%
-1.561184957 1
11.1%
-0.3180258304 1
11.1%
-0.1923995864 1
11.1%
ValueCountFrequency (%)
1.80356134 1
11.1%
1.30080803 1
11.1%
1.023636868 1
11.1%
0.530570025 1
11.1%
-0.1923995864 1
11.1%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2326000247
Minimum-2.54524955
Maximum1.191434978
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:57.288697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.54524955
5-th percentile-1.909689384
Q1-0.8334854242
median-0.2275413225
Q30.5438830144
95-th percentile0.9633459062
Maximum1.191434978
Range3.736684527
Interquartile range (IQR)1.377368439

Descriptive statistics

Standard deviation1.123989188
Coefficient of variation (CV)-4.832283184
Kurtosis1.179001423
Mean-0.2326000247
Median Absolute Deviation (MAD)0.7288078134
Skewness-0.977612417
Sum-2.093400222
Variance1.263351694
MonotonicityNot monotonic
2025-03-30T10:53:57.838488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.5438830144 1
11.1%
0.4727521418 1
11.1%
-0.9563491359 1
11.1%
1.191434978 1
11.1%
-0.2275413225 1
11.1%
-2.54524955 1
11.1%
-0.8334854242 1
11.1%
-0.3600572226 1
11.1%
0.621212299 1
11.1%
ValueCountFrequency (%)
-2.54524955 1
11.1%
-0.9563491359 1
11.1%
-0.8334854242 1
11.1%
-0.3600572226 1
11.1%
-0.2275413225 1
11.1%
ValueCountFrequency (%)
1.191434978 1
11.1%
0.621212299 1
11.1%
0.5438830144 1
11.1%
0.4727521418 1
11.1%
-0.2275413225 1
11.1%

stockewretd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5818613723
Minimum-1.082084258
Maximum2.614798935
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:53:58.295816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.082084258
5-th percentile-0.9650580906
Q1-0.0006814094432
median0.4022988557
Q31.222198158
95-th percentile2.34272948
Maximum2.614798935
Range3.696883194
Interquartile range (IQR)1.222879567

Descriptive statistics

Standard deviation1.201754764
Coefficient of variation (CV)2.065362682
Kurtosis-0.4701436698
Mean0.5818613723
Median Absolute Deviation (MAD)0.8198993019
Skewness0.3427480292
Sum5.23675235
Variance1.444214513
MonotonicityNot monotonic
2025-03-30T10:53:58.726916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.082084258 1
11.1%
0.7261611599 1
11.1%
1.222198158 1
11.1%
0.2089544521 1
11.1%
-0.0006814094432 1
11.1%
-0.7895188391 1
11.1%
2.614798935 1
11.1%
0.4022988557 1
11.1%
1.934625297 1
11.1%
ValueCountFrequency (%)
-1.082084258 1
11.1%
-0.7895188391 1
11.1%
-0.0006814094432 1
11.1%
0.2089544521 1
11.1%
0.4022988557 1
11.1%
ValueCountFrequency (%)
2.614798935 1
11.1%
1.934625297 1
11.1%
1.222198158 1
11.1%
0.7261611599 1
11.1%
0.4022988557 1
11.1%

stockewretx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03658323921
Minimum-1.08526794
Maximum1.565689617
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:53:59.155419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.08526794
5-th percentile-0.9842024635
Q1-0.5186016517
median-0.2055010797
Q30.5298378961
95-th percentile1.329571538
Maximum1.565689617
Range2.650957557
Interquartile range (IQR)1.048439548

Descriptive statistics

Standard deviation0.8691622875
Coefficient of variation (CV)23.75848356
Kurtosis-0.5435967518
Mean0.03658323921
Median Absolute Deviation (MAD)0.6271031693
Skewness0.5432928607
Sum0.3292491529
Variance0.7554430821
MonotonicityNot monotonic
2025-03-30T10:53:59.584128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.565689617 1
11.1%
-1.08526794 1
11.1%
0.2542058944 1
11.1%
-0.353903755 1
11.1%
-0.2055010797 1
11.1%
0.9753944207 1
11.1%
-0.832604249 1
11.1%
0.5298378961 1
11.1%
-0.5186016517 1
11.1%
ValueCountFrequency (%)
-1.08526794 1
11.1%
-0.832604249 1
11.1%
-0.5186016517 1
11.1%
-0.353903755 1
11.1%
-0.2055010797 1
11.1%
ValueCountFrequency (%)
1.565689617 1
11.1%
0.9753944207 1
11.1%
0.5298378961 1
11.1%
0.2542058944 1
11.1%
-0.2055010797 1
11.1%

stockewTotVal
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02189529363
Minimum-2.034895483
Maximum1.27226692
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:53:59.959742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.034895483
5-th percentile-1.676619359
Q1-1.064632634
median0.01908133108
Q31.128706721
95-th percentile1.239077383
Maximum1.27226692
Range3.307162403
Interquartile range (IQR)2.193339354

Descriptive statistics

Standard deviation1.234304746
Coefficient of variation (CV)-56.37306204
Kurtosis-1.451505865
Mean-0.02189529363
Median Absolute Deviation (MAD)1.10962539
Skewness-0.369213119
Sum-0.1970576427
Variance1.523508207
MonotonicityNot monotonic
2025-03-30T10:54:00.354547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5646921158 1
11.1%
0.9970197116 1
11.1%
1.27226692 1
11.1%
-1.064632634 1
11.1%
-1.139205172 1
11.1%
0.01908133108 1
11.1%
1.128706721 1
11.1%
-2.034895483 1
11.1%
1.189293078 1
11.1%
ValueCountFrequency (%)
-2.034895483 1
11.1%
-1.139205172 1
11.1%
-1.064632634 1
11.1%
-0.5646921158 1
11.1%
0.01908133108 1
11.1%
ValueCountFrequency (%)
1.27226692 1
11.1%
1.189293078 1
11.1%
1.128706721 1
11.1%
0.9970197116 1
11.1%
0.01908133108 1
11.1%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4534670947
Minimum-1.749353731
Maximum2.064550552
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:00.757319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.749353731
5-th percentile-1.297899488
Q1-0.06982482377
median0.4791682103
Q30.9976197628
95-th percentile1.978749263
Maximum2.064550552
Range3.813904283
Interquartile range (IQR)1.067444587

Descriptive statistics

Standard deviation1.191123877
Coefficient of variation (CV)2.6267041
Kurtosis0.1681057625
Mean0.4534670947
Median Absolute Deviation (MAD)0.5489930341
Skewness-0.4692800964
Sum4.081203852
Variance1.41877609
MonotonicityNot monotonic
2025-03-30T10:54:01.183453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.2466778965 1
11.1%
-0.620718123 1
11.1%
-1.749353731 1
11.1%
2.064550552 1
11.1%
1.85004733 1
11.1%
-0.06982482377 1
11.1%
0.4791682103 1
11.1%
0.9976197628 1
11.1%
0.8830367785 1
11.1%
ValueCountFrequency (%)
-1.749353731 1
11.1%
-0.620718123 1
11.1%
-0.06982482377 1
11.1%
0.2466778965 1
11.1%
0.4791682103 1
11.1%
ValueCountFrequency (%)
2.064550552 1
11.1%
1.85004733 1
11.1%
0.9976197628 1
11.1%
0.8830367785 1
11.1%
0.4791682103 1
11.1%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1597760964
Minimum-0.8505158586
Maximum1.847831029
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:01.602910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8505158586
5-th percentile-0.7271882439
Q1-0.4973368734
median-0.07627041102
Q30.470790444
95-th percentile1.609658369
Maximum1.847831029
Range2.698346887
Interquartile range (IQR)0.9681273173

Descriptive statistics

Standard deviation0.904004079
Coefficient of variation (CV)5.657943204
Kurtosis-0.09020773413
Mean0.1597760964
Median Absolute Deviation (MAD)0.4659264108
Skewness0.9221104546
Sum1.437984868
Variance0.8172233748
MonotonicityNot monotonic
2025-03-30T10:54:02.043746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.4565217618 1
11.1%
-0.5421968218 1
11.1%
1.847831029 1
11.1%
-0.07627041102 1
11.1%
-0.4973368734 1
11.1%
-0.8505158586 1
11.1%
1.25239938 1
11.1%
0.289805742 1
11.1%
0.470790444 1
11.1%
ValueCountFrequency (%)
-0.8505158586 1
11.1%
-0.5421968218 1
11.1%
-0.4973368734 1
11.1%
-0.4565217618 1
11.1%
-0.07627041102 1
11.1%
ValueCountFrequency (%)
1.847831029 1
11.1%
1.25239938 1
11.1%
0.470790444 1
11.1%
0.289805742 1
11.1%
-0.07627041102 1
11.1%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3239439707
Minimum-0.9058096233
Maximum1.845645569
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:02.423590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9058096233
5-th percentile-0.6406551524
Q1-0.1708804115
median0.1391021698
Q30.7827151355
95-th percentile1.568784759
Maximum1.845645569
Range2.751455193
Interquartile range (IQR)0.953595547

Descriptive statistics

Standard deviation0.8299765085
Coefficient of variation (CV)2.562098954
Kurtosis0.1488774212
Mean0.3239439707
Median Absolute Deviation (MAD)0.382025616
Skewness0.547607936
Sum2.915495737
Variance0.6888610046
MonotonicityNot monotonic
2025-03-30T10:54:02.822691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.09625046626 1
11.1%
-0.2429234462 1
11.1%
1.845645569 1
11.1%
1.153493544 1
11.1%
-0.9058096233 1
11.1%
0.7827151355 1
11.1%
0.4104032649 1
11.1%
-0.1708804115 1
11.1%
0.1391021698 1
11.1%
ValueCountFrequency (%)
-0.9058096233 1
11.1%
-0.2429234462 1
11.1%
-0.1708804115 1
11.1%
-0.09625046626 1
11.1%
0.1391021698 1
11.1%
ValueCountFrequency (%)
1.845645569 1
11.1%
1.153493544 1
11.1%
0.7827151355 1
11.1%
0.4104032649 1
11.1%
0.1391021698 1
11.1%

stocksprtrn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01599834963
Minimum-1.129747818
Maximum2.272181453
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:03.258363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.129747818
5-th percentile-1.106985608
Q1-0.7431521541
median-0.4568422967
Q30.4258244692
95-th percentile1.808641806
Maximum2.272181453
Range3.401929271
Interquartile range (IQR)1.168976623

Descriptive statistics

Standard deviation1.122780705
Coefficient of variation (CV)-70.18103311
Kurtosis0.8676337795
Mean-0.01599834963
Median Absolute Deviation (MAD)0.6159999965
Skewness1.170933728
Sum-0.1439851466
Variance1.260636511
MonotonicityNot monotonic
2025-03-30T10:54:03.670017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.008841772355 1
11.1%
2.272181453 1
11.1%
-1.129747818 1
11.1%
-0.4568422967 1
11.1%
-0.5615806152 1
11.1%
-1.072842293 1
11.1%
1.113332336 1
11.1%
0.4258244692 1
11.1%
-0.7431521541 1
11.1%
ValueCountFrequency (%)
-1.129747818 1
11.1%
-1.072842293 1
11.1%
-0.7431521541 1
11.1%
-0.5615806152 1
11.1%
-0.4568422967 1
11.1%
ValueCountFrequency (%)
2.272181453 1
11.1%
1.113332336 1
11.1%
0.4258244692 1
11.1%
0.008841772355 1
11.1%
-0.4568422967 1
11.1%

ustreb30ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5280529806
Minimum-2.146055107
Maximum0.7232644763
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:54:04.085150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.146055107
5-th percentile-1.90636093
Q1-1.027969677
median-0.2003550017
Q3-0.03183945664
95-th percentile0.6286876108
Maximum0.7232644763
Range2.869319583
Interquartile range (IQR)0.9961302203

Descriptive statistics

Standard deviation0.9408950573
Coefficient of variation (CV)-1.781819423
Kurtosis-0.6054080268
Mean-0.5280529806
Median Absolute Deviation (MAD)0.6871773142
Skewness-0.4322570115
Sum-4.752476826
Variance0.8852835089
MonotonicityNot monotonic
2025-03-30T10:54:04.499257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.03183945664 1
11.1%
-1.546819665 1
11.1%
-2.146055107 1
11.1%
-0.1685563464 1
11.1%
-0.8409683606 1
11.1%
-1.027969677 1
11.1%
-0.2003550017 1
11.1%
0.4868223125 1
11.1%
0.7232644763 1
11.1%
ValueCountFrequency (%)
-2.146055107 1
11.1%
-1.546819665 1
11.1%
-1.027969677 1
11.1%
-0.8409683606 1
11.1%
-0.2003550017 1
11.1%
ValueCountFrequency (%)
0.7232644763 1
11.1%
0.4868223125 1
11.1%
-0.03183945664 1
11.1%
-0.1685563464 1
11.1%
-0.2003550017 1
11.1%

ustreb30ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09515416811
Minimum-1.419815695
Maximum0.9733705358
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:04.932354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.419815695
5-th percentile-1.138269404
Q1-0.4844343734
median-0.2534598788
Q30.2740908282
95-th percentile0.9017835071
Maximum0.9733705358
Range2.393186231
Interquartile range (IQR)0.7585252015

Descriptive statistics

Standard deviation0.7530646215
Coefficient of variation (CV)-7.914152753
Kurtosis-0.2283285047
Mean-0.09515416811
Median Absolute Deviation (MAD)0.502894183
Skewness-0.2322607722
Sum-0.856387513
Variance0.5671063241
MonotonicityNot monotonic
2025-03-30T10:54:05.340676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.4844343734 1
11.1%
0.9733705358 1
11.1%
0.794402964 1
11.1%
-0.7159499674 1
11.1%
-0.2534598788 1
11.1%
-1.419815695 1
11.1%
-0.2740262307 1
11.1%
0.2494343042 1
11.1%
0.2740908282 1
11.1%
ValueCountFrequency (%)
-1.419815695 1
11.1%
-0.7159499674 1
11.1%
-0.4844343734 1
11.1%
-0.2740262307 1
11.1%
-0.2534598788 1
11.1%
ValueCountFrequency (%)
0.9733705358 1
11.1%
0.794402964 1
11.1%
0.2740908282 1
11.1%
0.2494343042 1
11.1%
-0.2534598788 1
11.1%

ustreb20ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2587852516
Minimum-1.886837508
Maximum0.9705024945
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:05.726047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.886837508
5-th percentile-1.578650375
Q1-0.9370742801
median-0.5236676001
Q30.6137462931
95-th percentile0.9223359453
Maximum0.9705024945
Range2.857340003
Interquartile range (IQR)1.550820573

Descriptive statistics

Standard deviation1.014561537
Coefficient of variation (CV)-3.920476652
Kurtosis-1.404021874
Mean-0.2587852516
Median Absolute Deviation (MAD)1.003462314
Skewness-0.1737948523
Sum-2.329067264
Variance1.029335112
MonotonicityNot monotonic
2025-03-30T10:54:06.117716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.9370742801 1
11.1%
-0.7792478244 1
11.1%
-1.116369675 1
11.1%
0.4797947143 1
11.1%
0.8500861215 1
11.1%
-0.5236676001 1
11.1%
0.6137462931 1
11.1%
-1.886837508 1
11.1%
0.9705024945 1
11.1%
ValueCountFrequency (%)
-1.886837508 1
11.1%
-1.116369675 1
11.1%
-0.9370742801 1
11.1%
-0.7792478244 1
11.1%
-0.5236676001 1
11.1%
ValueCountFrequency (%)
0.9705024945 1
11.1%
0.8500861215 1
11.1%
0.6137462931 1
11.1%
0.4797947143 1
11.1%
-0.5236676001 1
11.1%

ustreb20ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2380966537
Minimum-1.642357915
Maximum2.738994128
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:06.487500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.642357915
5-th percentile-1.5504868
Q1-0.7962136851
median0.157853531
Q30.3431292725
95-th percentile2.698275756
Maximum2.738994128
Range4.381352043
Interquartile range (IQR)1.139342958

Descriptive statistics

Standard deviation1.55999001
Coefficient of variation (CV)6.551919088
Kurtosis-0.3500736751
Mean0.2380966537
Median Absolute Deviation (MAD)0.9540672161
Skewness0.7264692068
Sum2.142869883
Variance2.433568831
MonotonicityNot monotonic
2025-03-30T10:54:06.832421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.09219702213 1
11.1%
0.2091435011 1
11.1%
2.637198199 1
11.1%
2.738994128 1
11.1%
0.157853531 1
11.1%
-1.412680126 1
11.1%
-1.642357915 1
11.1%
-0.7962136851 1
11.1%
0.3431292725 1
11.1%
ValueCountFrequency (%)
-1.642357915 1
11.1%
-1.412680126 1
11.1%
-0.7962136851 1
11.1%
-0.09219702213 1
11.1%
0.157853531 1
11.1%
ValueCountFrequency (%)
2.738994128 1
11.1%
2.637198199 1
11.1%
0.3431292725 1
11.1%
0.2091435011 1
11.1%
0.157853531 1
11.1%

ustreb10ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.167599414
Minimum-1.308059272
Maximum1.756970936
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:07.167112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.308059272
5-th percentile-0.914688705
Q1-0.3238150802
median-0.1786471977
Q30.4002894967
95-th percentile1.724398647
Maximum1.756970936
Range3.065030208
Interquartile range (IQR)0.7241045769

Descriptive statistics

Standard deviation0.9888221493
Coefficient of variation (CV)5.899914122
Kurtosis0.03994735776
Mean0.167599414
Median Absolute Deviation (MAD)0.2409638104
Skewness0.6464193152
Sum1.508394726
Variance0.977769243
MonotonicityNot monotonic
2025-03-30T10:54:07.520234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.756970936 1
11.1%
1.675540213 1
11.1%
-0.3238150802 1
11.1%
-0.1786471977 1
11.1%
0.4002894967 1
11.1%
-0.251568128 1
11.1%
0.06231661267 1
11.1%
-1.308059272 1
11.1%
-0.3246328544 1
11.1%
ValueCountFrequency (%)
-1.308059272 1
11.1%
-0.3246328544 1
11.1%
-0.3238150802 1
11.1%
-0.251568128 1
11.1%
-0.1786471977 1
11.1%
ValueCountFrequency (%)
1.756970936 1
11.1%
1.675540213 1
11.1%
0.4002894967 1
11.1%
0.06231661267 1
11.1%
-0.1786471977 1
11.1%

ustreb10ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5849916511
Minimum-0.9061065306
Maximum2.790291622
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:07.878673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9061065306
5-th percentile-0.8926578821
Q1-0.09724244006
median0.47340803
Q31.407293304
95-th percentile2.244435773
Maximum2.790291622
Range3.696398152
Interquartile range (IQR)1.504535744

Descriptive statistics

Standard deviation1.178929851
Coefficient of variation (CV)2.015293464
Kurtosis0.1822710662
Mean0.5849916511
Median Absolute Deviation (MAD)0.9338852735
Skewness0.5038600667
Sum5.26492486
Variance1.389875594
MonotonicityNot monotonic
2025-03-30T10:54:08.267602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3818081404 1
11.1%
-0.8724849094 1
11.1%
0.6623056457 1
11.1%
1.407293304 1
11.1%
1.425651999 1
11.1%
-0.9061065306 1
11.1%
0.47340803 1
11.1%
-0.09724244006 1
11.1%
2.790291622 1
11.1%
ValueCountFrequency (%)
-0.9061065306 1
11.1%
-0.8724849094 1
11.1%
-0.09724244006 1
11.1%
0.3818081404 1
11.1%
0.47340803 1
11.1%
ValueCountFrequency (%)
2.790291622 1
11.1%
1.425651999 1
11.1%
1.407293304 1
11.1%
0.6623056457 1
11.1%
0.47340803 1
11.1%

ustreb7ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5365852949
Minimum-2.576629767
Maximum0.9534424263
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:08.665678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.576629767
5-th percentile-2.104065664
Q1-1.144565188
median-1.019886801
Q30.7753237514
95-th percentile0.9370520835
Maximum0.9534424263
Range3.530072193
Interquartile range (IQR)1.919888939

Descriptive statistics

Standard deviation1.219685485
Coefficient of variation (CV)-2.273050522
Kurtosis-0.8869243393
Mean-0.5365852949
Median Absolute Deviation (MAD)0.7550931993
Skewness-0.08709980266
Sum-4.829267654
Variance1.487632681
MonotonicityNot monotonic
2025-03-30T10:54:09.050837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.9124665694 1
11.1%
-1.395219509 1
11.1%
-2.576629767 1
11.1%
-1.069405535 1
11.1%
-1.019886801 1
11.1%
-1.144565188 1
11.1%
-0.2647936018 1
11.1%
0.9534424263 1
11.1%
0.7753237514 1
11.1%
ValueCountFrequency (%)
-2.576629767 1
11.1%
-1.395219509 1
11.1%
-1.144565188 1
11.1%
-1.069405535 1
11.1%
-1.019886801 1
11.1%
ValueCountFrequency (%)
0.9534424263 1
11.1%
0.9124665694 1
11.1%
0.7753237514 1
11.1%
-0.2647936018 1
11.1%
-1.019886801 1
11.1%

ustreb7ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2520433577
Minimum-1.013908546
Maximum1.764361316
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:09.425838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.013908546
5-th percentile-0.7729383459
Q1-0.2058429972
median0.1184372771
Q30.9378270139
95-th percentile1.49969548
Maximum1.764361316
Range2.778269862
Interquartile range (IQR)1.143670011

Descriptive statistics

Standard deviation0.8631606375
Coefficient of variation (CV)3.424651399
Kurtosis-0.3137382469
Mean0.2520433577
Median Absolute Deviation (MAD)0.5299203223
Skewness0.4712305692
Sum2.268390219
Variance0.7450462861
MonotonicityNot monotonic
2025-03-30T10:54:09.766332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1184372771 1
11.1%
-1.013908546 1
11.1%
0.9378270139 1
11.1%
1.102696726 1
11.1%
-0.4114830452 1
11.1%
1.764361316 1
11.1%
-0.1984823515 1
11.1%
-0.2058429972 1
11.1%
0.1747848258 1
11.1%
ValueCountFrequency (%)
-1.013908546 1
11.1%
-0.4114830452 1
11.1%
-0.2058429972 1
11.1%
-0.1984823515 1
11.1%
0.1184372771 1
11.1%
ValueCountFrequency (%)
1.764361316 1
11.1%
1.102696726 1
11.1%
0.9378270139 1
11.1%
0.1747848258 1
11.1%
0.1184372771 1
11.1%

ustreb5ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1566656996
Minimum-2.074821918
Maximum1.946912336
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:10.155723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.074821918
5-th percentile-1.676293687
Q1-1.041107123
median0.05875317688
Q30.3088884829
95-th percentile1.513432451
Maximum1.946912336
Range4.021734254
Interquartile range (IQR)1.349995606

Descriptive statistics

Standard deviation1.187021387
Coefficient of variation (CV)-7.576779026
Kurtosis0.2332568033
Mean-0.1566656996
Median Absolute Deviation (MAD)0.8044594456
Skewness0.1844728671
Sum-1.409991297
Variance1.409019773
MonotonicityNot monotonic
2025-03-30T10:54:10.567755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.946912336 1
11.1%
-1.041107123 1
11.1%
-0.5352485472 1
11.1%
-1.07850134 1
11.1%
0.05875317688 1
11.1%
-2.074821918 1
11.1%
0.8632126225 1
11.1%
0.3088884829 1
11.1%
0.1419210129 1
11.1%
ValueCountFrequency (%)
-2.074821918 1
11.1%
-1.07850134 1
11.1%
-1.041107123 1
11.1%
-0.5352485472 1
11.1%
0.05875317688 1
11.1%
ValueCountFrequency (%)
1.946912336 1
11.1%
0.8632126225 1
11.1%
0.3088884829 1
11.1%
0.1419210129 1
11.1%
0.05875317688 1
11.1%

ustreb5ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2511071229
Minimum-0.6102559004
Maximum1.814046329
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:10.972590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6102559004
5-th percentile-0.49546105
Q1-0.3091309953
median-0.04579653672
Q30.5890435397
95-th percentile1.445682434
Maximum1.814046329
Range2.424302229
Interquartile range (IQR)0.898174535

Descriptive statistics

Standard deviation0.755854065
Coefficient of variation (CV)3.010086119
Kurtosis1.115480361
Mean0.2511071229
Median Absolute Deviation (MAD)0.3912228971
Skewness1.135330198
Sum2.259964106
Variance0.5713153675
MonotonicityNot monotonic
2025-03-30T10:54:11.403040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.3232687744 1
11.1%
0.8931365923 1
11.1%
-0.3091309953 1
11.1%
1.814046329 1
11.1%
0.5890435397 1
11.1%
-0.09323650866 1
11.1%
0.3454263604 1
11.1%
-0.04579653672 1
11.1%
-0.6102559004 1
11.1%
ValueCountFrequency (%)
-0.6102559004 1
11.1%
-0.3232687744 1
11.1%
-0.3091309953 1
11.1%
-0.09323650866 1
11.1%
-0.04579653672 1
11.1%
ValueCountFrequency (%)
1.814046329 1
11.1%
0.8931365923 1
11.1%
0.5890435397 1
11.1%
0.3454263604 1
11.1%
-0.04579653672 1
11.1%

ustreb2ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.259663425
Minimum-3.759778927
Maximum1.45785918
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:11.913919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.759778927
5-th percentile-2.858800603
Q1-0.5849299186
median0.3151682038
Q30.6918356374
95-th percentile1.236890855
Maximum1.45785918
Range5.217638107
Interquartile range (IQR)1.276765556

Descriptive statistics

Standard deviation1.582150307
Coefficient of variation (CV)-6.0930811
Kurtosis2.452261857
Mean-0.259663425
Median Absolute Deviation (MAD)0.6603178611
Skewness-1.490739186
Sum-2.336970825
Variance2.503199594
MonotonicityNot monotonic
2025-03-30T10:54:12.414531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.45785918 1
11.1%
-0.5849299186 1
11.1%
0.6918356374 1
11.1%
0.3151682038 1
11.1%
-0.3451496573 1
11.1%
-1.507333118 1
11.1%
0.9054383675 1
11.1%
-3.759778927 1
11.1%
0.4899194073 1
11.1%
ValueCountFrequency (%)
-3.759778927 1
11.1%
-1.507333118 1
11.1%
-0.5849299186 1
11.1%
-0.3451496573 1
11.1%
0.3151682038 1
11.1%
ValueCountFrequency (%)
1.45785918 1
11.1%
0.9054383675 1
11.1%
0.6918356374 1
11.1%
0.4899194073 1
11.1%
0.3151682038 1
11.1%

ustreb2ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2163918848
Minimum-2.000332276
Maximum0.8012444547
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:12.802042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.000332276
5-th percentile-1.619490974
Q1-0.4647198668
median0.07912268276
Q30.4369836443
95-th percentile0.6957842793
Maximum0.8012444547
Range2.801576731
Interquartile range (IQR)0.9017035111

Descriptive statistics

Standard deviation0.8805061146
Coefficient of variation (CV)-4.069034824
Kurtosis0.8696251601
Mean-0.2163918848
Median Absolute Deviation (MAD)0.4860618541
Skewness-1.047791521
Sum-1.947526963
Variance0.7752910179
MonotonicityNot monotonic
2025-03-30T10:54:13.173099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1177485745 1
11.1%
0.5375940163 1
11.1%
-2.000332276 1
11.1%
0.07912268276 1
11.1%
-0.4647198668 1
11.1%
-1.048229021 1
11.1%
0.4369836443 1
11.1%
0.8012444547 1
11.1%
-0.4069391713 1
11.1%
ValueCountFrequency (%)
-2.000332276 1
11.1%
-1.048229021 1
11.1%
-0.4647198668 1
11.1%
-0.4069391713 1
11.1%
0.07912268276 1
11.1%
ValueCountFrequency (%)
0.8012444547 1
11.1%
0.5375940163 1
11.1%
0.4369836443 1
11.1%
0.1177485745 1
11.1%
0.07912268276 1
11.1%

ustreb1ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6292507722
Minimum-1.674628089
Maximum1.143857437
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)88.9%
Memory size144.0 B
2025-03-30T10:54:13.532241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.674628089
5-th percentile-1.661080666
Q1-1.525540244
median-0.4823090269
Q3-0.2542351286
95-th percentile0.591279297
Maximum1.143857437
Range2.818485526
Interquartile range (IQR)1.271305116

Descriptive statistics

Standard deviation0.8967943286
Coefficient of variation (CV)-1.425177955
Kurtosis0.7365384357
Mean-0.6292507722
Median Absolute Deviation (MAD)0.2447211132
Skewness0.6251973744
Sum-5.663256949
Variance0.8042400679
MonotonicityNot monotonic
2025-03-30T10:54:13.925275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5949814292 1
11.1%
-0.4823090269 1
11.1%
-1.525540244 1
11.1%
-1.640759531 1
11.1%
-0.2375879137 1
11.1%
-1.674628089 1
11.1%
1.143857437 1
11.1%
-0.2542351286 1
11.1%
-0.3970730243 1
11.1%
ValueCountFrequency (%)
-1.674628089 1
11.1%
-1.640759531 1
11.1%
-1.525540244 1
11.1%
-0.5949814292 1
11.1%
-0.4823090269 1
11.1%
ValueCountFrequency (%)
1.143857437 1
11.1%
-0.2375879137 1
11.1%
-0.2542351286 1
11.1%
-0.3970730243 1
11.1%
-0.4823090269 1
11.1%

ustreb1ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.124958981
Minimum-2.462120111
Maximum1.767731812
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:14.363971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.462120111
5-th percentile-1.689270332
Q1-0.4814564921
median-0.2590121951
Q30.2802016382
95-th percentile1.494056236
Maximum1.767731812
Range4.229851923
Interquartile range (IQR)0.7616581304

Descriptive statistics

Standard deviation1.174086445
Coefficient of variation (CV)-9.395774806
Kurtosis1.754273313
Mean-0.124958981
Median Absolute Deviation (MAD)0.2709834686
Skewness-0.4249012367
Sum-1.124630829
Variance1.378478981
MonotonicityNot monotonic
2025-03-30T10:54:14.736791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5299956637 1
11.1%
-0.3393956804 1
11.1%
-0.4814564921 1
11.1%
-0.1841270085 1
11.1%
1.767731812 1
11.1%
-2.462120111 1
11.1%
1.083542871 1
11.1%
-0.2590121951 1
11.1%
0.2802016382 1
11.1%
ValueCountFrequency (%)
-2.462120111 1
11.1%
-0.5299956637 1
11.1%
-0.4814564921 1
11.1%
-0.3393956804 1
11.1%
-0.2590121951 1
11.1%
ValueCountFrequency (%)
1.767731812 1
11.1%
1.083542871 1
11.1%
0.2802016382 1
11.1%
-0.1841270085 1
11.1%
-0.2590121951 1
11.1%

ustret90ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2872274572
Minimum-1.396005066
Maximum1.340481511
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:15.071775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.396005066
5-th percentile-1.295642058
Q1-0.9252274375
median-0.6244541088
Q30.5384650368
95-th percentile1.132480355
Maximum1.340481511
Range2.736486577
Interquartile range (IQR)1.463692474

Descriptive statistics

Standard deviation0.9554451883
Coefficient of variation (CV)-3.326440995
Kurtosis-0.9455442597
Mean-0.2872274572
Median Absolute Deviation (MAD)0.5206434384
Skewness0.7039834034
Sum-2.585047114
Variance0.9128755078
MonotonicityNot monotonic
2025-03-30T10:54:15.431088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.7798292795 1
11.1%
1.340481511 1
11.1%
-0.6244541088 1
11.1%
-0.9252274375 1
11.1%
0.8204786196 1
11.1%
-0.4138588431 1
11.1%
0.5384650368 1
11.1%
-1.145097547 1
11.1%
-1.396005066 1
11.1%
ValueCountFrequency (%)
-1.396005066 1
11.1%
-1.145097547 1
11.1%
-0.9252274375 1
11.1%
-0.7798292795 1
11.1%
-0.6244541088 1
11.1%
ValueCountFrequency (%)
1.340481511 1
11.1%
0.8204786196 1
11.1%
0.5384650368 1
11.1%
-0.4138588431 1
11.1%
-0.6244541088 1
11.1%

ustret90ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4333810188
Minimum-1.716107213
Maximum1.185865823
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:15.821256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.716107213
5-th percentile-1.606105008
Q1-1.364881575
median-0.4407633118
Q30.2107296084
95-th percentile1.003970156
Maximum1.185865823
Range2.901973036
Interquartile range (IQR)1.575611183

Descriptive statistics

Standard deviation0.9981942491
Coefficient of variation (CV)-2.30327173
Kurtosis-0.9616078722
Mean-0.4333810188
Median Absolute Deviation (MAD)0.924118263
Skewness0.3456304637
Sum-3.900429169
Variance0.996391759
MonotonicityNot monotonic
2025-03-30T10:54:16.170590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.6548651587 1
11.1%
-0.4407633118 1
11.1%
0.731126655 1
11.1%
1.185865823 1
11.1%
-1.441101701 1
11.1%
-1.364881575 1
11.1%
-1.716107213 1
11.1%
-0.4104322963 1
11.1%
0.2107296084 1
11.1%
ValueCountFrequency (%)
-1.716107213 1
11.1%
-1.441101701 1
11.1%
-1.364881575 1
11.1%
-0.6548651587 1
11.1%
-0.4407633118 1
11.1%
ValueCountFrequency (%)
1.185865823 1
11.1%
0.731126655 1
11.1%
0.2107296084 1
11.1%
-0.4104322963 1
11.1%
-0.4407633118 1
11.1%

ustret30ret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2098629202
Minimum-2.133423503
Maximum1.921439527
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:16.576232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133423503
5-th percentile-1.609392876
Q1-0.3260265385
median0.0883403517
Q31.136111084
95-th percentile1.87653369
Maximum1.921439527
Range4.05486303
Interquartile range (IQR)1.462137623

Descriptive statistics

Standard deviation1.287916318
Coefficient of variation (CV)6.136940804
Kurtosis0.02731476521
Mean0.2098629202
Median Absolute Deviation (MAD)0.911687288
Skewness-0.3190922854
Sum1.888766282
Variance1.658728443
MonotonicityNot monotonic
2025-03-30T10:54:17.026620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.136111084 1
11.1%
1.921439527 1
11.1%
-2.133423503 1
11.1%
-0.03921056899 1
11.1%
0.2557079323 1
11.1%
0.0883403517 1
11.1%
1.809174934 1
11.1%
-0.8233469363 1
11.1%
-0.3260265385 1
11.1%
ValueCountFrequency (%)
-2.133423503 1
11.1%
-0.8233469363 1
11.1%
-0.3260265385 1
11.1%
-0.03921056899 1
11.1%
0.0883403517 1
11.1%
ValueCountFrequency (%)
1.921439527 1
11.1%
1.809174934 1
11.1%
1.136111084 1
11.1%
0.2557079323 1
11.1%
0.0883403517 1
11.1%

ustret30ind
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2691640762
Minimum-1.40415624
Maximum1.473917045
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:17.431968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.40415624
5-th percentile-1.249842369
Q1-0.6980310959
median0.2893743162
Q31.428651083
95-th percentile1.4709374
Maximum1.473917045
Range2.878073285
Interquartile range (IQR)2.126682179

Descriptive statistics

Standard deviation1.16877145
Coefficient of variation (CV)4.342226742
Kurtosis-1.925415896
Mean0.2691640762
Median Absolute Deviation (MAD)1.139276767
Skewness-0.2056964467
Sum2.422476686
Variance1.366026702
MonotonicityNot monotonic
2025-03-30T10:54:17.838149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.466467933 1
11.1%
1.428651083 1
11.1%
1.473917045 1
11.1%
-1.40415624 1
11.1%
-1.018371563 1
11.1%
-0.6980310959 1
11.1%
1.231379321 1
11.1%
0.2893743162 1
11.1%
-0.3467541142 1
11.1%
ValueCountFrequency (%)
-1.40415624 1
11.1%
-1.018371563 1
11.1%
-0.6980310959 1
11.1%
-0.3467541142 1
11.1%
0.2893743162 1
11.1%
ValueCountFrequency (%)
1.473917045 1
11.1%
1.466467933 1
11.1%
1.428651083 1
11.1%
1.231379321 1
11.1%
0.2893743162 1
11.1%

ustrecpiret
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1140002963
Minimum-1.698301286
Maximum1.266913149
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:18.238015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.698301286
5-th percentile-1.332123973
Q1-0.6948021015
median-0.08529294304
Q30.4080437432
95-th percentile1.144470236
Maximum1.266913149
Range2.965214435
Interquartile range (IQR)1.102845845

Descriptive statistics

Standard deviation0.9424508134
Coefficient of variation (CV)-8.26709091
Kurtosis-0.5698253912
Mean-0.1140002963
Median Absolute Deviation (MAD)0.6095091585
Skewness-0.1103988828
Sum-1.026002667
Variance0.8882135357
MonotonicityNot monotonic
2025-03-30T10:54:18.643049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.6801685763 1
11.1%
1.266913149 1
11.1%
0.2796574836 1
11.1%
-1.698301286 1
11.1%
-0.08529294304 1
11.1%
0.4080437432 1
11.1%
-0.6948021015 1
11.1%
0.9608058661 1
11.1%
-0.7828580026 1
11.1%
ValueCountFrequency (%)
-1.698301286 1
11.1%
-0.7828580026 1
11.1%
-0.6948021015 1
11.1%
-0.6801685763 1
11.1%
-0.08529294304 1
11.1%
ValueCountFrequency (%)
1.266913149 1
11.1%
0.9608058661 1
11.1%
0.4080437432 1
11.1%
0.2796574836 1
11.1%
-0.08529294304 1
11.1%

ajexm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2304685581
Minimum-1.768353289
Maximum2.348722402
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:19.047732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.768353289
5-th percentile-1.668063032
Q1-0.9833076381
median-0.2910967041
Q30.05416336044
95-th percentile1.798735091
Maximum2.348722402
Range4.117075692
Interquartile range (IQR)1.037470999

Descriptive statistics

Standard deviation1.276838327
Coefficient of variation (CV)-5.540184473
Kurtosis0.980274681
Mean-0.2304685581
Median Absolute Deviation (MAD)0.692210934
Skewness0.9726127434
Sum-2.074217023
Variance1.630316113
MonotonicityNot monotonic
2025-03-30T10:54:19.563136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2.348722402 1
11.1%
-1.768353289 1
11.1%
-0.2910967041 1
11.1%
-0.9833076381 1
11.1%
0.05416336044 1
11.1%
-0.7406803387 1
11.1%
0.9737541242 1
11.1%
-0.1497912932 1
11.1%
-1.517627647 1
11.1%
ValueCountFrequency (%)
-1.768353289 1
11.1%
-1.517627647 1
11.1%
-0.9833076381 1
11.1%
-0.7406803387 1
11.1%
-0.2910967041 1
11.1%
ValueCountFrequency (%)
2.348722402 1
11.1%
0.9737541242 1
11.1%
0.05416336044 1
11.1%
-0.1497912932 1
11.1%
-0.2910967041 1
11.1%

ajpm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3975532528
Minimum-0.6906203534
Maximum1.359330535
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:20.012787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6906203534
5-th percentile-0.6554924942
Q1-0.5105043218
median0.4679640256
Q31.171751936
95-th percentile1.305714443
Maximum1.359330535
Range2.049950888
Interquartile range (IQR)1.682256258

Descriptive statistics

Standard deviation0.8548840625
Coefficient of variation (CV)2.150363647
Kurtosis-2.046403141
Mean0.3975532528
Median Absolute Deviation (MAD)0.7573262802
Skewness-0.2064124207
Sum3.577979276
Variance0.7308267604
MonotonicityNot monotonic
2025-03-30T10:54:20.429161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.05104292834 1
11.1%
1.106524925 1
11.1%
-0.5105043218 1
11.1%
1.359330535 1
11.1%
1.225290306 1
11.1%
1.171751936 1
11.1%
-0.6028007054 1
11.1%
0.4679640256 1
11.1%
-0.6906203534 1
11.1%
ValueCountFrequency (%)
-0.6906203534 1
11.1%
-0.6028007054 1
11.1%
-0.5105043218 1
11.1%
0.05104292834 1
11.1%
0.4679640256 1
11.1%
ValueCountFrequency (%)
1.359330535 1
11.1%
1.225290306 1
11.1%
1.171751936 1
11.1%
1.106524925 1
11.1%
0.4679640256 1
11.1%

cshtrm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3601717086
Minimum-2.706518458
Maximum1.462337682
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:20.829038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.706518458
5-th percentile-2.18654575
Q1-1.302291396
median0.1416538183
Q30.309614804
95-th percentile1.130750133
Maximum1.462337682
Range4.16885614
Interquartile range (IQR)1.6119062

Descriptive statistics

Standard deviation1.275570837
Coefficient of variation (CV)-3.541563111
Kurtosis-0.04294565517
Mean-0.3601717086
Median Absolute Deviation (MAD)0.8074568876
Skewness-0.556655759
Sum-3.241545378
Variance1.62708096
MonotonicityNot monotonic
2025-03-30T10:54:21.211890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1416538183 1
11.1%
1.462337682 1
11.1%
-1.302291396 1
11.1%
0.309614804 1
11.1%
-0.6658030693 1
11.1%
-2.706518458 1
11.1%
0.6333688093 1
11.1%
-1.406586687 1
11.1%
0.2926791188 1
11.1%
ValueCountFrequency (%)
-2.706518458 1
11.1%
-1.406586687 1
11.1%
-1.302291396 1
11.1%
-0.6658030693 1
11.1%
0.1416538183 1
11.1%
ValueCountFrequency (%)
1.462337682 1
11.1%
0.6333688093 1
11.1%
0.309614804 1
11.1%
0.2926791188 1
11.1%
0.1416538183 1
11.1%

prccm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2112153845
Minimum-1.875475763
Maximum1.477175733
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:21.706681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.875475763
5-th percentile-1.500244037
Q1-0.6030659078
median-0.151024015
Q30.2216413718
95-th percentile1.17195928
Maximum1.477175733
Range3.352651496
Interquartile range (IQR)0.8247072796

Descriptive statistics

Standard deviation0.9686719933
Coefficient of variation (CV)-4.586181047
Kurtosis0.5673861509
Mean-0.2112153845
Median Absolute Deviation (MAD)0.4520418928
Skewness0.1015205645
Sum-1.900938461
Variance0.9383254307
MonotonicityNot monotonic
2025-03-30T10:54:22.142985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.151024015 1
11.1%
-0.6030078001 1
11.1%
1.477175733 1
11.1%
-0.6030659078 1
11.1%
-0.14392023 1
11.1%
-0.9373964495 1
11.1%
-1.875475763 1
11.1%
0.7141345994 1
11.1%
0.2216413718 1
11.1%
ValueCountFrequency (%)
-1.875475763 1
11.1%
-0.9373964495 1
11.1%
-0.6030659078 1
11.1%
-0.6030078001 1
11.1%
-0.151024015 1
11.1%
ValueCountFrequency (%)
1.477175733 1
11.1%
0.7141345994 1
11.1%
0.2216413718 1
11.1%
-0.14392023 1
11.1%
-0.151024015 1
11.1%

prchm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05268217218
Minimum-1.380697622
Maximum1.555880781
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:22.597867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.380697622
5-th percentile-1.334176574
Q1-0.8550819655
median0.2301406513
Q30.8975312797
95-th percentile1.351388723
Maximum1.555880781
Range2.936578403
Interquartile range (IQR)1.752613245

Descriptive statistics

Standard deviation1.045087087
Coefficient of variation (CV)19.83758535
Kurtosis-1.314325293
Mean0.05268217218
Median Absolute Deviation (MAD)0.8145099844
Skewness-0.1364592773
Sum0.4741395496
Variance1.092207019
MonotonicityNot monotonic
2025-03-30T10:54:23.093919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.8550819655 1
11.1%
0.2301406513 1
11.1%
1.044650636 1
11.1%
0.8975312797 1
11.1%
-0.1275206518 1
11.1%
0.3736314417 1
11.1%
1.555880781 1
11.1%
-1.380697622 1
11.1%
-1.264395001 1
11.1%
ValueCountFrequency (%)
-1.380697622 1
11.1%
-1.264395001 1
11.1%
-0.8550819655 1
11.1%
-0.1275206518 1
11.1%
0.2301406513 1
11.1%
ValueCountFrequency (%)
1.555880781 1
11.1%
1.044650636 1
11.1%
0.8975312797 1
11.1%
0.3736314417 1
11.1%
0.2301406513 1
11.1%

prclm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3311202646
Minimum-0.8263244628
Maximum1.652169978
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:23.528221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8263244628
5-th percentile-0.8262057348
Q1-0.0252516243
median0.3476322611
Q30.7471359032
95-th percentile1.403795949
Maximum1.652169978
Range2.478494441
Interquartile range (IQR)0.7723875275

Descriptive statistics

Standard deviation0.8119171334
Coefficient of variation (CV)2.452030939
Kurtosis-0.3041227838
Mean0.3311202646
Median Absolute Deviation (MAD)0.3995036422
Skewness-0.12324322
Sum2.980082382
Variance0.6592094316
MonotonicityNot monotonic
2025-03-30T10:54:23.945775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.031234905 1
11.1%
-0.8260276429 1
11.1%
-0.8263244628 1
11.1%
-0.0252516243 1
11.1%
0.5734104939 1
11.1%
0.3061025705 1
11.1%
0.7471359032 1
11.1%
0.3476322611 1
11.1%
1.652169978 1
11.1%
ValueCountFrequency (%)
-0.8263244628 1
11.1%
-0.8260276429 1
11.1%
-0.0252516243 1
11.1%
0.3061025705 1
11.1%
0.3476322611 1
11.1%
ValueCountFrequency (%)
1.652169978 1
11.1%
1.031234905 1
11.1%
0.7471359032 1
11.1%
0.5734104939 1
11.1%
0.3476322611 1
11.1%

trfm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05264308486
Minimum-2.147890697
Maximum1.499161342
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:24.345908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.147890697
5-th percentile-1.610919026
Q1-0.61905907
median0.1065618914
Q30.4987109098
95-th percentile1.495546949
Maximum1.499161342
Range3.647052039
Interquartile range (IQR)1.11776998

Descriptive statistics

Standard deviation1.158454806
Coefficient of variation (CV)-22.00583057
Kurtosis0.09147327583
Mean-0.05264308486
Median Absolute Deviation (MAD)0.7256209614
Skewness-0.24769599
Sum-0.4737877637
Variance1.342017537
MonotonicityNot monotonic
2025-03-30T10:54:24.775979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1065618914 1
11.1%
0.4987109098 1
11.1%
-0.61905907 1
11.1%
-0.6117278937 1
11.1%
-2.147890697 1
11.1%
0.115791913 1
11.1%
-0.8054615193 1
11.1%
1.490125361 1
11.1%
1.499161342 1
11.1%
ValueCountFrequency (%)
-2.147890697 1
11.1%
-0.8054615193 1
11.1%
-0.61905907 1
11.1%
-0.6117278937 1
11.1%
0.1065618914 1
11.1%
ValueCountFrequency (%)
1.499161342 1
11.1%
1.490125361 1
11.1%
0.4987109098 1
11.1%
0.115791913 1
11.1%
0.1065618914 1
11.1%

trt1m
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2072028068
Minimum-1.782369434
Maximum1.455421388
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:25.224278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.782369434
5-th percentile-1.479275961
Q1-0.1129042791
median0.2294547508
Q31.169355424
95-th percentile1.451795516
Maximum1.455421388
Range3.237790822
Interquartile range (IQR)1.282259703

Descriptive statistics

Standard deviation1.098635522
Coefficient of variation (CV)5.302223165
Kurtosis-0.2274977243
Mean0.2072028068
Median Absolute Deviation (MAD)0.9399006728
Skewness-0.610039158
Sum1.864825261
Variance1.207000011
MonotonicityNot monotonic
2025-03-30T10:54:25.586393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.2294547508 1
11.1%
0.07550359324 1
11.1%
-0.1129042791 1
11.1%
-1.024635752 1
11.1%
1.169355424 1
11.1%
0.4086428608 1
11.1%
1.455421388 1
11.1%
-1.782369434 1
11.1%
1.446356709 1
11.1%
ValueCountFrequency (%)
-1.782369434 1
11.1%
-1.024635752 1
11.1%
-0.1129042791 1
11.1%
0.07550359324 1
11.1%
0.2294547508 1
11.1%
ValueCountFrequency (%)
1.455421388 1
11.1%
1.446356709 1
11.1%
1.169355424 1
11.1%
0.4086428608 1
11.1%
0.2294547508 1
11.1%

index_y
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1436841218
Minimum-1.078380203
Maximum1.06932312
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:25.984597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.078380203
5-th percentile-0.8014740058
Q1-0.2043871141
median0.09431652128
Q30.5065632051
95-th percentile1.025671213
Maximum1.06932312
Range2.147703324
Interquartile range (IQR)0.7109503192

Descriptive statistics

Standard deviation0.6694046215
Coefficient of variation (CV)4.658862879
Kurtosis0.1246210838
Mean0.1436841218
Median Absolute Deviation (MAD)0.4122466838
Skewness-0.3368822936
Sum1.293157097
Variance0.4481025473
MonotonicityNot monotonic
2025-03-30T10:54:26.339718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.9601933518 1
11.1%
-1.078380203 1
11.1%
0.2902107431 1
11.1%
-0.3861147094 1
11.1%
0.5065632051 1
11.1%
0.09431652128 1
11.1%
-0.2043871141 1
11.1%
1.06932312 1
11.1%
0.04143218196 1
11.1%
ValueCountFrequency (%)
-1.078380203 1
11.1%
-0.3861147094 1
11.1%
-0.2043871141 1
11.1%
0.04143218196 1
11.1%
0.09431652128 1
11.1%
ValueCountFrequency (%)
1.06932312 1
11.1%
0.9601933518 1
11.1%
0.5065632051 1
11.1%
0.2902107431 1
11.1%
0.09431652128 1
11.1%

CAPEI
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1661835374
Minimum-0.8607014691
Maximum1.121601055
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:26.697094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8607014691
5-th percentile-0.8404192539
Q1-0.3403358261
median0.1821290863
Q30.63123752
95-th percentile1.109584634
Maximum1.121601055
Range1.982302524
Interquartile range (IQR)0.9715733461

Descriptive statistics

Standard deviation0.7436805869
Coefficient of variation (CV)4.475055705
Kurtosis-1.315544602
Mean0.1661835374
Median Absolute Deviation (MAD)0.5224649124
Skewness-0.1331467349
Sum1.495651836
Variance0.5530608153
MonotonicityNot monotonic
2025-03-30T10:54:27.093389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.63123752 1
11.1%
0.5263572297 1
11.1%
1.121601055 1
11.1%
-0.8607014691 1
11.1%
-0.8099959311 1
11.1%
1.091560002 1
11.1%
-0.04619983075 1
11.1%
0.1821290863 1
11.1%
-0.3403358261 1
11.1%
ValueCountFrequency (%)
-0.8607014691 1
11.1%
-0.8099959311 1
11.1%
-0.3403358261 1
11.1%
-0.04619983075 1
11.1%
0.1821290863 1
11.1%
ValueCountFrequency (%)
1.121601055 1
11.1%
1.091560002 1
11.1%
0.63123752 1
11.1%
0.5263572297 1
11.1%
0.1821290863 1
11.1%

bm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1538578866
Minimum-1.161020018
Maximum1.23903903
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:27.555445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.161020018
5-th percentile-1.019840689
Q1-0.6485857106
median-0.1368243604
Q31.125672537
95-th percentile1.23091308
Maximum1.23903903
Range2.400059048
Interquartile range (IQR)1.774258247

Descriptive statistics

Standard deviation0.9709670164
Coefficient of variation (CV)6.310804328
Kurtosis-2.072076531
Mean0.1538578866
Median Absolute Deviation (MAD)1.024195658
Skewness0.00477326166
Sum1.384720979
Variance0.9427769469
MonotonicityNot monotonic
2025-03-30T10:54:28.027361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.9385142818 1
11.1%
-1.161020018 1
11.1%
-0.1368243604 1
11.1%
1.23903903 1
11.1%
-0.3827272393 1
11.1%
1.125672537 1
11.1%
1.218724155 1
11.1%
-0.8080716955 1
11.1%
-0.6485857106 1
11.1%
ValueCountFrequency (%)
-1.161020018 1
11.1%
-0.8080716955 1
11.1%
-0.6485857106 1
11.1%
-0.3827272393 1
11.1%
-0.1368243604 1
11.1%
ValueCountFrequency (%)
1.23903903 1
11.1%
1.218724155 1
11.1%
1.125672537 1
11.1%
0.9385142818 1
11.1%
-0.1368243604 1
11.1%

evm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1740263601
Minimum-1.728354267
Maximum1.08361233
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:28.446525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.728354267
5-th percentile-1.53645497
Q1-0.299802767
median0.5628510661
Q30.947078377
95-th percentile1.036242315
Maximum1.08361233
Range2.811966597
Interquartile range (IQR)1.246881144

Descriptive statistics

Standard deviation1.041874749
Coefficient of variation (CV)5.986878929
Kurtosis-0.242396992
Mean0.1740263601
Median Absolute Deviation (MAD)0.4023362268
Skewness-1.086993654
Sum1.566237241
Variance1.085502992
MonotonicityNot monotonic
2025-03-30T10:54:28.810505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.08361233 1
11.1%
-0.299802767 1
11.1%
0.3452803899 1
11.1%
0.5628510661 1
11.1%
0.9651872929 1
11.1%
0.9389908444 1
11.1%
-1.728354267 1
11.1%
-1.248606025 1
11.1%
0.947078377 1
11.1%
ValueCountFrequency (%)
-1.728354267 1
11.1%
-1.248606025 1
11.1%
-0.299802767 1
11.1%
0.3452803899 1
11.1%
0.5628510661 1
11.1%
ValueCountFrequency (%)
1.08361233 1
11.1%
0.9651872929 1
11.1%
0.947078377 1
11.1%
0.9389908444 1
11.1%
0.5628510661 1
11.1%

pe_op_basic
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1585429393
Minimum-1.790882846
Maximum1.246226254
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:29.205681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.790882846
5-th percentile-1.261140706
Q1-0.03775470768
median0.2609216568
Q30.7570439907
95-th percentile1.123885367
Maximum1.246226254
Range3.0371091
Interquartile range (IQR)0.7947986984

Descriptive statistics

Standard deviation0.907158316
Coefficient of variation (CV)5.721846206
Kurtosis1.963746493
Mean0.1585429393
Median Absolute Deviation (MAD)0.4961223339
Skewness-1.21129418
Sum1.426886454
Variance0.8229362103
MonotonicityNot monotonic
2025-03-30T10:54:29.640280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.4665274947 1
11.1%
0.5510638296 1
11.1%
-0.03357826572 1
11.1%
-0.03775470768 1
11.1%
0.2609216568 1
11.1%
1.246226254 1
11.1%
0.7570439907 1
11.1%
-1.790882846 1
11.1%
0.9403740369 1
11.1%
ValueCountFrequency (%)
-1.790882846 1
11.1%
-0.4665274947 1
11.1%
-0.03775470768 1
11.1%
-0.03357826572 1
11.1%
0.2609216568 1
11.1%
ValueCountFrequency (%)
1.246226254 1
11.1%
0.9403740369 1
11.1%
0.7570439907 1
11.1%
0.5510638296 1
11.1%
0.2609216568 1
11.1%

pe_op_dil
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5489601435
Minimum-2.100828868
Maximum3.155537877
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:30.056386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.100828868
5-th percentile-1.447789922
Q1-0.333674131
median0.5315960272
Q31.029542878
95-th percentile2.85361757
Maximum3.155537877
Range5.256366745
Interquartile range (IQR)1.363217009

Descriptive statistics

Standard deviation1.574160112
Coefficient of variation (CV)2.867530786
Kurtosis0.1902830963
Mean0.5489601435
Median Absolute Deviation (MAD)0.8652701582
Skewness0.146389752
Sum4.940641292
Variance2.477980058
MonotonicityNot monotonic
2025-03-30T10:54:30.442462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.333674131 1
11.1%
-2.100828868 1
11.1%
3.155537877 1
11.1%
0.8451496681 1
11.1%
-0.4682315028 1
11.1%
-0.119187766 1
11.1%
0.5315960272 1
11.1%
2.400737109 1
11.1%
1.029542878 1
11.1%
ValueCountFrequency (%)
-2.100828868 1
11.1%
-0.4682315028 1
11.1%
-0.333674131 1
11.1%
-0.119187766 1
11.1%
0.5315960272 1
11.1%
ValueCountFrequency (%)
3.155537877 1
11.1%
2.400737109 1
11.1%
1.029542878 1
11.1%
0.8451496681 1
11.1%
0.5315960272 1
11.1%

pe_exi
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09816884582
Minimum-1.106596391
Maximum0.9971482389
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:31.304269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.106596391
5-th percentile-0.9937332096
Q1-0.5107620195
median-0.2525511199
Q30.2487961355
95-th percentile0.9462234566
Maximum0.9971482389
Range2.10374463
Interquartile range (IQR)0.7595581549

Descriptive statistics

Standard deviation0.7119495237
Coefficient of variation (CV)-7.252295958
Kurtosis-0.7387703288
Mean-0.09816884582
Median Absolute Deviation (MAD)0.5013472554
Skewness0.343532303
Sum-0.8835196124
Variance0.5068721243
MonotonicityNot monotonic
2025-03-30T10:54:31.669905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.869836283 1
11.1%
-0.8244384378 1
11.1%
0.2487961355 1
11.1%
-0.2525511199 1
11.1%
-0.3159992943 1
11.1%
0.01104699244 1
11.1%
-0.5107620195 1
11.1%
-1.106596391 1
11.1%
0.9971482389 1
11.1%
ValueCountFrequency (%)
-1.106596391 1
11.1%
-0.8244384378 1
11.1%
-0.5107620195 1
11.1%
-0.3159992943 1
11.1%
-0.2525511199 1
11.1%
ValueCountFrequency (%)
0.9971482389 1
11.1%
0.869836283 1
11.1%
0.2487961355 1
11.1%
0.01104699244 1
11.1%
-0.2525511199 1
11.1%

pe_inc
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06226187478
Minimum-1.081009606
Maximum1.250884619
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:32.025184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.081009606
5-th percentile-1.030715963
Q1-0.8032368704
median-0.2174439354
Q30.6759803242
95-th percentile1.077324502
Maximum1.250884619
Range2.331894224
Interquartile range (IQR)1.479217195

Descriptive statistics

Standard deviation0.8287794337
Coefficient of variation (CV)-13.31118661
Kurtosis-1.230459887
Mean-0.06226187478
Median Absolute Deviation (MAD)0.7378315633
Skewness0.3272543815
Sum-0.560356873
Variance0.6868753497
MonotonicityNot monotonic
2025-03-30T10:54:32.389947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.9552754987 1
11.1%
1.250884619 1
11.1%
-0.2174439354 1
11.1%
-1.081009606 1
11.1%
0.6759803242 1
11.1%
-0.8032368704 1
11.1%
-0.2588944702 1
11.1%
0.01165423783 1
11.1%
0.8169843267 1
11.1%
ValueCountFrequency (%)
-1.081009606 1
11.1%
-0.9552754987 1
11.1%
-0.8032368704 1
11.1%
-0.2588944702 1
11.1%
-0.2174439354 1
11.1%
ValueCountFrequency (%)
1.250884619 1
11.1%
0.8169843267 1
11.1%
0.6759803242 1
11.1%
0.01165423783 1
11.1%
-0.2174439354 1
11.1%

ps
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1858166395
Minimum-2.558287859
Maximum1.419919124
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:32.741519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.558287859
5-th percentile-1.857430383
Q1-0.09289728846
median0.109870525
Q31.17464573
95-th percentile1.391510885
Maximum1.419919124
Range3.978206984
Interquartile range (IQR)1.267543018

Descriptive statistics

Standard deviation1.28987877
Coefficient of variation (CV)6.941675267
Kurtosis1.568635615
Mean0.1858166395
Median Absolute Deviation (MAD)0.9809738049
Skewness-1.236279292
Sum1.672349755
Variance1.663787242
MonotonicityNot monotonic
2025-03-30T10:54:33.160269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.09289728846 1
11.1%
-0.8061441675 1
11.1%
-2.558287859 1
11.1%
1.09084433 1
11.1%
1.17464573 1
11.1%
1.348898526 1
11.1%
0.109870525 1
11.1%
1.419919124 1
11.1%
-0.01449916452 1
11.1%
ValueCountFrequency (%)
-2.558287859 1
11.1%
-0.8061441675 1
11.1%
-0.09289728846 1
11.1%
-0.01449916452 1
11.1%
0.109870525 1
11.1%
ValueCountFrequency (%)
1.419919124 1
11.1%
1.348898526 1
11.1%
1.17464573 1
11.1%
1.09084433 1
11.1%
0.109870525 1
11.1%

pcf
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.363982301
Minimum-2.268434433
Maximum2.627907888
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)22.2%
Memory size144.0 B
2025-03-30T10:54:33.585847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.268434433
5-th percentile-1.472088623
Q10.005460377573
median0.5633649678
Q30.9830486529
95-th percentile1.978814615
Maximum2.627907888
Range4.896342321
Interquartile range (IQR)0.9775882753

Descriptive statistics

Standard deviation1.304211047
Coefficient of variation (CV)3.583171607
Kurtosis2.354366353
Mean0.363982301
Median Absolute Deviation (MAD)0.5401797567
Skewness-0.4682557779
Sum3.275840709
Variance1.700966454
MonotonicityNot monotonic
2025-03-30T10:54:33.959290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.6137032474 1
11.1%
1.005174704 1
11.1%
2.627907888 1
11.1%
-0.277569907 1
11.1%
0.5633649678 1
11.1%
-2.268434433 1
11.1%
0.005460377573 1
11.1%
0.9830486529 1
11.1%
0.02318521113 1
11.1%
ValueCountFrequency (%)
-2.268434433 1
11.1%
-0.277569907 1
11.1%
0.005460377573 1
11.1%
0.02318521113 1
11.1%
0.5633649678 1
11.1%
ValueCountFrequency (%)
2.627907888 1
11.1%
1.005174704 1
11.1%
0.9830486529 1
11.1%
0.6137032474 1
11.1%
0.5633649678 1
11.1%

npm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04998684375
Minimum-1.698178829
Maximum1.208347902
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:34.318122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.698178829
5-th percentile-1.440312962
Q1-0.6722812027
median0.4438379248
Q30.5930372739
95-th percentile1.094341818
Maximum1.208347902
Range2.906526731
Interquartile range (IQR)1.265318477

Descriptive statistics

Standard deviation0.9956018682
Coefficient of variation (CV)-19.9172781
Kurtosis-1.195453421
Mean-0.04998684375
Median Absolute Deviation (MAD)0.7645099771
Skewness-0.4099240382
Sum-0.4498815938
Variance0.99122308
MonotonicityNot monotonic
2025-03-30T10:54:34.673688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.6568592272 1
11.1%
-1.698178829 1
11.1%
-0.6722812027 1
11.1%
0.4438379248 1
11.1%
0.5930372739 1
11.1%
-1.053514161 1
11.1%
0.9233326918 1
11.1%
0.4623960344 1
11.1%
1.208347902 1
11.1%
ValueCountFrequency (%)
-1.698178829 1
11.1%
-1.053514161 1
11.1%
-0.6722812027 1
11.1%
-0.6568592272 1
11.1%
0.4438379248 1
11.1%
ValueCountFrequency (%)
1.208347902 1
11.1%
0.9233326918 1
11.1%
0.5930372739 1
11.1%
0.4623960344 1
11.1%
0.4438379248 1
11.1%

opmbd
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.128681007
Minimum-2.942254412
Maximum1.287889402
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:35.077276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.942254412
5-th percentile-2.005952664
Q1-0.3885432494
median-0.05095312677
Q30.5376198035
95-th percentile1.105922513
Maximum1.287889402
Range4.230143814
Interquartile range (IQR)0.9261630529

Descriptive statistics

Standard deviation1.210179114
Coefficient of variation (CV)-9.404488994
Kurtosis3.897495613
Mean-0.128681007
Median Absolute Deviation (MAD)0.5505469149
Skewness-1.661675384
Sum-1.158129063
Variance1.464533489
MonotonicityNot monotonic
2025-03-30T10:54:35.476042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.287889402 1
11.1%
-0.3885432494 1
11.1%
0.8329721803 1
11.1%
-0.05388475129 1
11.1%
0.5376198035 1
11.1%
-0.05095312677 1
11.1%
0.2205251319 1
11.1%
-0.6015000417 1
11.1%
-2.942254412 1
11.1%
ValueCountFrequency (%)
-2.942254412 1
11.1%
-0.6015000417 1
11.1%
-0.3885432494 1
11.1%
-0.05388475129 1
11.1%
-0.05095312677 1
11.1%
ValueCountFrequency (%)
1.287889402 1
11.1%
0.8329721803 1
11.1%
0.5376198035 1
11.1%
0.2205251319 1
11.1%
-0.05095312677 1
11.1%

opmad
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2520932929
Minimum-0.9454633462
Maximum0.4515504263
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:35.886242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9454633462
5-th percentile-0.936572462
Q1-0.674113611
median-0.1965271341
Q30.1422555076
95-th percentile0.4117693055
Maximum0.4515504263
Range1.397013772
Interquartile range (IQR)0.8163691185

Descriptive statistics

Standard deviation0.52254499
Coefficient of variation (CV)-2.072823851
Kurtosis-1.445985847
Mean-0.2520932929
Median Absolute Deviation (MAD)0.4775864769
Skewness-0.08780313892
Sum-2.268839636
Variance0.2730532666
MonotonicityNot monotonic
2025-03-30T10:54:36.286055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.1422555076 1
11.1%
-0.9232361357 1
11.1%
0.4515504263 1
11.1%
-0.07043482958 1
11.1%
-0.4049681376 1
11.1%
0.3520976243 1
11.1%
-0.674113611 1
11.1%
-0.9454633462 1
11.1%
-0.1965271341 1
11.1%
ValueCountFrequency (%)
-0.9454633462 1
11.1%
-0.9232361357 1
11.1%
-0.674113611 1
11.1%
-0.4049681376 1
11.1%
-0.1965271341 1
11.1%
ValueCountFrequency (%)
0.4515504263 1
11.1%
0.3520976243 1
11.1%
0.1422555076 1
11.1%
-0.07043482958 1
11.1%
-0.1965271341 1
11.1%

gpm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5324396926
Minimum-1.891239742
Maximum0.7028888301
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:54:36.723079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.891239742
5-th percentile-1.819274333
Q1-1.089421547
median-0.455322644
Q3-0.08814467569
95-th percentile0.6780903201
Maximum0.7028888301
Range2.594128573
Interquartile range (IQR)1.001276872

Descriptive statistics

Standard deviation0.9299936744
Coefficient of variation (CV)-1.74666481
Kurtosis-1.082913941
Mean-0.5324396926
Median Absolute Deviation (MAD)0.6340989032
Skewness-0.1334153032
Sum-4.791957234
Variance0.8648882345
MonotonicityNot monotonic
2025-03-30T10:54:37.131393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7028888301 1
11.1%
-1.089421547 1
11.1%
-1.711326218 1
11.1%
-0.455322644 1
11.1%
0.6408925552 1
11.1%
-1.891239742 1
11.1%
-0.8059016421 1
11.1%
-0.09438214931 1
11.1%
-0.08814467569 1
11.1%
ValueCountFrequency (%)
-1.891239742 1
11.1%
-1.711326218 1
11.1%
-1.089421547 1
11.1%
-0.8059016421 1
11.1%
-0.455322644 1
11.1%
ValueCountFrequency (%)
0.7028888301 1
11.1%
0.6408925552 1
11.1%
-0.08814467569 1
11.1%
-0.09438214931 1
11.1%
-0.455322644 1
11.1%

ptpm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2440547797
Minimum-0.6077320833
Maximum1.830368729
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:37.496169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6077320833
5-th percentile-0.5766127667
Q1-0.3455948901
median-0.04895181631
Q30.8148227202
95-th percentile1.560597224
Maximum1.830368729
Range2.438100813
Interquartile range (IQR)1.16041761

Descriptive statistics

Standard deviation0.8455192463
Coefficient of variation (CV)3.464465017
Kurtosis-0.2604542526
Mean0.2440547797
Median Absolute Deviation (MAD)0.4809819754
Skewness0.9227553576
Sum2.196493017
Variance0.7149027959
MonotonicityNot monotonic
2025-03-30T10:54:37.872564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.8148227202 1
11.1%
-0.3455948901 1
11.1%
-0.5299337917 1
11.1%
1.155939966 1
11.1%
-0.04895181631 1
11.1%
-0.2914393409 1
11.1%
0.2190135235 1
11.1%
-0.6077320833 1
11.1%
1.830368729 1
11.1%
ValueCountFrequency (%)
-0.6077320833 1
11.1%
-0.5299337917 1
11.1%
-0.3455948901 1
11.1%
-0.2914393409 1
11.1%
-0.04895181631 1
11.1%
ValueCountFrequency (%)
1.830368729 1
11.1%
1.155939966 1
11.1%
0.8148227202 1
11.1%
0.2190135235 1
11.1%
-0.04895181631 1
11.1%

cfm
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3719749613
Minimum-2.384946381
Maximum0.8456838707
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:38.255354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.384946381
5-th percentile-1.754712322
Q1-0.7079455708
median-0.5863450443
Q30.6483618047
95-th percentile0.7770776187
Maximum0.8456838707
Range3.230630252
Interquartile range (IQR)1.356307375

Descriptive statistics

Standard deviation1.005789986
Coefficient of variation (CV)-2.703918519
Kurtosis0.9135937801
Mean-0.3719749613
Median Absolute Deviation (MAD)0.223016188
Skewness-0.6784117061
Sum-3.347774651
Variance1.011613497
MonotonicityNot monotonic
2025-03-30T10:54:38.659960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.8456838707 1
11.1%
0.6741682406 1
11.1%
-0.5863450443 1
11.1%
-0.8093612323 1
11.1%
0.6483618047 1
11.1%
-0.6408791364 1
11.1%
-0.3865112026 1
11.1%
-0.7079455708 1
11.1%
-2.384946381 1
11.1%
ValueCountFrequency (%)
-2.384946381 1
11.1%
-0.8093612323 1
11.1%
-0.7079455708 1
11.1%
-0.6408791364 1
11.1%
-0.5863450443 1
11.1%
ValueCountFrequency (%)
0.8456838707 1
11.1%
0.6741682406 1
11.1%
0.6483618047 1
11.1%
-0.3865112026 1
11.1%
-0.5863450443 1
11.1%

roa
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08957565739
Minimum-1.156253231
Maximum1.14014056
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:39.072737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.156253231
5-th percentile-1.097398292
Q1-0.6889355392
median-0.414096801
Q31.02280275
95-th percentile1.133886871
Maximum1.14014056
Range2.296393791
Interquartile range (IQR)1.711738289

Descriptive statistics

Standard deviation0.9289578603
Coefficient of variation (CV)-10.37065077
Kurtosis-1.630303024
Mean-0.08957565739
Median Absolute Deviation (MAD)0.5950190834
Skewness0.5402263971
Sum-0.8061809165
Variance0.8629627063
MonotonicityNot monotonic
2025-03-30T10:54:39.454069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.009115884 1
11.1%
-0.3041961804 1
11.1%
1.124506338 1
11.1%
-0.6889355392 1
11.1%
-0.414096801 1
11.1%
-1.156253231 1
11.1%
1.14014056 1
11.1%
1.02280275 1
11.1%
-0.5210329286 1
11.1%
ValueCountFrequency (%)
-1.156253231 1
11.1%
-1.009115884 1
11.1%
-0.6889355392 1
11.1%
-0.5210329286 1
11.1%
-0.414096801 1
11.1%
ValueCountFrequency (%)
1.14014056 1
11.1%
1.124506338 1
11.1%
1.02280275 1
11.1%
-0.3041961804 1
11.1%
-0.414096801 1
11.1%

roe
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2212998125
Minimum-1.645556639
Maximum1.999615817
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:39.807320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.645556639
5-th percentile-1.588863747
Q1-0.1162026403
median0.1314102634
Q31.102294563
95-th percentile1.690667387
Maximum1.999615817
Range3.645172456
Interquartile range (IQR)1.218497203

Descriptive statistics

Standard deviation1.221328908
Coefficient of variation (CV)5.518888126
Kurtosis-0.6269540052
Mean0.2212998125
Median Absolute Deviation (MAD)0.9708842994
Skewness-0.3673425276
Sum1.991698313
Variance1.491644301
MonotonicityNot monotonic
2025-03-30T10:54:40.212967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.102294563 1
11.1%
-0.1162026403 1
11.1%
1.999615817 1
11.1%
0.1314102634 1
11.1%
0.8087091297 1
11.1%
1.227244743 1
11.1%
-1.645556639 1
11.1%
-0.01199251356 1
11.1%
-1.503824409 1
11.1%
ValueCountFrequency (%)
-1.645556639 1
11.1%
-1.503824409 1
11.1%
-0.1162026403 1
11.1%
-0.01199251356 1
11.1%
0.1314102634 1
11.1%
ValueCountFrequency (%)
1.999615817 1
11.1%
1.227244743 1
11.1%
1.102294563 1
11.1%
0.8087091297 1
11.1%
0.1314102634 1
11.1%

roce
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3553270805
Minimum-1.306142665
Maximum0.9519329738
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:40.624067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.306142665
5-th percentile-1.153973937
Q1-0.8153695791
median-0.4366262316
Q30.1679886675
95-th percentile0.6732151204
Maximum0.9519329738
Range2.258075639
Interquartile range (IQR)0.9833582466

Descriptive statistics

Standard deviation0.7055879791
Coefficient of variation (CV)-1.985742202
Kurtosis-0.1039369478
Mean-0.3553270805
Median Absolute Deviation (MAD)0.4890946139
Skewness0.6344930114
Sum-3.197943724
Variance0.4978543962
MonotonicityNot monotonic
2025-03-30T10:54:40.987530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.9519329738 1
11.1%
-0.7770625332 1
11.1%
-0.9257208455 1
11.1%
-0.8153695791 1
11.1%
-0.4366262316 1
11.1%
0.2551383404 1
11.1%
-1.306142665 1
11.1%
-0.3120818512 1
11.1%
0.1679886675 1
11.1%
ValueCountFrequency (%)
-1.306142665 1
11.1%
-0.9257208455 1
11.1%
-0.8153695791 1
11.1%
-0.7770625332 1
11.1%
-0.4366262316 1
11.1%
ValueCountFrequency (%)
0.9519329738 1
11.1%
0.2551383404 1
11.1%
0.1679886675 1
11.1%
-0.3120818512 1
11.1%
-0.4366262316 1
11.1%

aftret_eq
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1414256487
Minimum-2.102189551
Maximum1.957489423
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:41.353317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.102189551
5-th percentile-1.739766433
Q1-1.185139029
median0.3142971604
Q31.142450537
95-th percentile1.889569946
Maximum1.957489423
Range4.059678974
Interquartile range (IQR)2.327589567

Descriptive statistics

Standard deviation1.402027665
Coefficient of variation (CV)9.91353179
Kurtosis-1.044667095
Mean0.1414256487
Median Absolute Deviation (MAD)1.473393571
Skewness-0.2641759051
Sum1.272830839
Variance1.965681572
MonotonicityNot monotonic
2025-03-30T10:54:41.770846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.957489423 1
11.1%
0.4584806238 1
11.1%
0.3142971604 1
11.1%
-1.185139029 1
11.1%
1.142450537 1
11.1%
1.787690731 1
11.1%
0.09588269913 1
11.1%
-1.196131756 1
11.1%
-2.102189551 1
11.1%
ValueCountFrequency (%)
-2.102189551 1
11.1%
-1.196131756 1
11.1%
-1.185139029 1
11.1%
0.09588269913 1
11.1%
0.3142971604 1
11.1%
ValueCountFrequency (%)
1.957489423 1
11.1%
1.787690731 1
11.1%
1.142450537 1
11.1%
0.4584806238 1
11.1%
0.3142971604 1
11.1%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09965154101
Minimum-1.259688201
Maximum1.091256961
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:42.187299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.259688201
5-th percentile-1.196902536
Q1-0.39247552
median-0.1225912219
Q30.2940493017
95-th percentile0.9505548678
Maximum1.091256961
Range2.350945162
Interquartile range (IQR)0.6865248217

Descriptive statistics

Standard deviation0.7742615737
Coefficient of variation (CV)-7.76968992
Kurtosis-0.5724053979
Mean-0.09965154101
Median Absolute Deviation (MAD)0.4166405236
Skewness-0.08583489616
Sum-0.8968638691
Variance0.5994809845
MonotonicityNot monotonic
2025-03-30T10:54:42.578835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.1225912219 1
11.1%
1.091256961 1
11.1%
0.1263677708 1
11.1%
0.7395017281 1
11.1%
-0.39247552 1
11.1%
-0.2705606487 1
11.1%
-1.259688201 1
11.1%
0.2940493017 1
11.1%
-1.102724039 1
11.1%
ValueCountFrequency (%)
-1.259688201 1
11.1%
-1.102724039 1
11.1%
-0.39247552 1
11.1%
-0.2705606487 1
11.1%
-0.1225912219 1
11.1%
ValueCountFrequency (%)
1.091256961 1
11.1%
0.7395017281 1
11.1%
0.2940493017 1
11.1%
0.1263677708 1
11.1%
-0.1225912219 1
11.1%

aftret_equity
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5332968632
Minimum-1.189386023
Maximum1.785199079
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:42.928433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.189386023
5-th percentile-1.068968668
Q1-0.4659203354
median0.9279646499
Q31.288580572
95-th percentile1.774023224
Maximum1.785199079
Range2.974585102
Interquartile range (IQR)1.754500908

Descriptive statistics

Standard deviation1.13701718
Coefficient of variation (CV)2.132053005
Kurtosis-1.492319942
Mean0.5332968632
Median Absolute Deviation (MAD)0.8292947931
Skewness-0.4730588181
Sum4.799671768
Variance1.292808067
MonotonicityNot monotonic
2025-03-30T10:54:43.293829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.288580572 1
11.1%
1.757259443 1
11.1%
0.9279646499 1
11.1%
1.255707826 1
11.1%
0.3286091919 1
11.1%
-0.4659203354 1
11.1%
1.785199079 1
11.1%
-0.8883426338 1
11.1%
-1.189386023 1
11.1%
ValueCountFrequency (%)
-1.189386023 1
11.1%
-0.8883426338 1
11.1%
-0.4659203354 1
11.1%
0.3286091919 1
11.1%
0.9279646499 1
11.1%
ValueCountFrequency (%)
1.785199079 1
11.1%
1.757259443 1
11.1%
1.288580572 1
11.1%
1.255707826 1
11.1%
0.9279646499 1
11.1%

GProf
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4202541341
Minimum-1.384056511
Maximum1.528103263
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:43.670985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.384056511
5-th percentile-1.064577665
Q1-0.2040537871
median0.3311302781
Q31.366066148
95-th percentile1.50256934
Maximum1.528103263
Range2.912159774
Interquartile range (IQR)1.570119935

Descriptive statistics

Standard deviation1.022433098
Coefficient of variation (CV)2.432892423
Kurtosis-0.7825226126
Mean0.4202541341
Median Absolute Deviation (MAD)0.9164896726
Skewness-0.5291553192
Sum3.782287206
Variance1.045369441
MonotonicityNot monotonic
2025-03-30T10:54:44.050943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3311302781 1
11.1%
-1.384056511 1
11.1%
1.528103263 1
11.1%
1.366066148 1
11.1%
-0.2040537871 1
11.1%
1.078065563 1
11.1%
-0.5853593945 1
11.1%
1.464268456 1
11.1%
0.1881231919 1
11.1%
ValueCountFrequency (%)
-1.384056511 1
11.1%
-0.5853593945 1
11.1%
-0.2040537871 1
11.1%
0.1881231919 1
11.1%
0.3311302781 1
11.1%
ValueCountFrequency (%)
1.528103263 1
11.1%
1.464268456 1
11.1%
1.366066148 1
11.1%
1.078065563 1
11.1%
0.3311302781 1
11.1%

equity_invcap
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1840951297
Minimum-2.00996411
Maximum1.024661797
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:44.442374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.00996411
5-th percentile-1.623783632
Q1-0.7196245945
median0.0835105499
Q30.3535510608
95-th percentile0.8268272134
Maximum1.024661797
Range3.034625907
Interquartile range (IQR)1.073175655

Descriptive statistics

Standard deviation0.9234213287
Coefficient of variation (CV)-5.01600086
Kurtosis0.6737274371
Mean-0.1840951297
Median Absolute Deviation (MAD)0.4465647877
Skewness-0.9261038873
Sum-1.656856167
Variance0.8527069503
MonotonicityNot monotonic
2025-03-30T10:54:44.827720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0835105499 1
11.1%
0.1223042901 1
11.1%
0.5300753376 1
11.1%
-2.00996411 1
11.1%
-0.7196245945 1
11.1%
0.003142418 1
11.1%
-1.044512916 1
11.1%
1.024661797 1
11.1%
0.3535510608 1
11.1%
ValueCountFrequency (%)
-2.00996411 1
11.1%
-1.044512916 1
11.1%
-0.7196245945 1
11.1%
0.003142418 1
11.1%
0.0835105499 1
11.1%
ValueCountFrequency (%)
1.024661797 1
11.1%
0.5300753376 1
11.1%
0.3535510608 1
11.1%
0.1223042901 1
11.1%
0.0835105499 1
11.1%

debt_invcap
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2294083446
Minimum-1.425887675
Maximum2.657076086
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:45.218388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.425887675
5-th percentile-0.9666288087
Q1-0.1086167696
median0.05547935748
Q30.5278386892
95-th percentile1.835182338
Maximum2.657076086
Range4.082963762
Interquartile range (IQR)0.6364554588

Descriptive statistics

Standard deviation1.08163772
Coefficient of variation (CV)4.714901378
Kurtosis3.717138636
Mean0.2294083446
Median Absolute Deviation (MAD)0.3332198664
Skewness1.225985461
Sum2.064675101
Variance1.169940157
MonotonicityNot monotonic
2025-03-30T10:54:45.616154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.2777405089 1
11.1%
-0.0373923383 1
11.1%
0.5278386892 1
11.1%
-1.425887675 1
11.1%
0.05547935748 1
11.1%
0.6023417159 1
11.1%
0.0715765443 1
11.1%
2.657076086 1
11.1%
-0.1086167696 1
11.1%
ValueCountFrequency (%)
-1.425887675 1
11.1%
-0.2777405089 1
11.1%
-0.1086167696 1
11.1%
-0.0373923383 1
11.1%
0.05547935748 1
11.1%
ValueCountFrequency (%)
2.657076086 1
11.1%
0.6023417159 1
11.1%
0.5278386892 1
11.1%
0.0715765443 1
11.1%
0.05547935748 1
11.1%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07244729971
Minimum-1.007561484
Maximum1.131742089
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:46.031841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.007561484
5-th percentile-0.8962841449
Q1-0.7107446189
median-0.2242274621
Q30.4916273642
95-th percentile0.9767196211
Maximum1.131742089
Range2.139303573
Interquartile range (IQR)1.202371983

Descriptive statistics

Standard deviation0.7252692413
Coefficient of variation (CV)-10.01099067
Kurtosis-0.924314187
Mean-0.07244729971
Median Absolute Deviation (MAD)0.5051406745
Skewness0.4627838027
Sum-0.6520256974
Variance0.5260154724
MonotonicityNot monotonic
2025-03-30T10:54:46.396239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7441859187 1
11.1%
-0.7107446189 1
11.1%
-0.7293681366 1
11.1%
1.131742089 1
11.1%
-1.007561484 1
11.1%
-0.2242274621 1
11.1%
-0.2632170144 1
11.1%
0.4916273642 1
11.1%
-0.08446235396 1
11.1%
ValueCountFrequency (%)
-1.007561484 1
11.1%
-0.7293681366 1
11.1%
-0.7107446189 1
11.1%
-0.2632170144 1
11.1%
-0.2242274621 1
11.1%
ValueCountFrequency (%)
1.131742089 1
11.1%
0.7441859187 1
11.1%
0.4916273642 1
11.1%
-0.08446235396 1
11.1%
-0.2242274621 1
11.1%

capital_ratio
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0727305402
Minimum-1.759977892
Maximum1.590746784
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:46.739025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.759977892
5-th percentile-1.290427744
Q1-0.2726438079
median0.01532012906
Q30.5085063752
95-th percentile1.375020373
Maximum1.590746784
Range3.350724675
Interquartile range (IQR)0.7811501831

Descriptive statistics

Standard deviation0.962047914
Coefficient of variation (CV)13.22756453
Kurtosis0.9784530148
Mean0.0727305402
Median Absolute Deviation (MAD)0.4931862462
Skewness-0.3550130769
Sum0.6545748618
Variance0.9255361888
MonotonicityNot monotonic
2025-03-30T10:54:47.114053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5861025217 1
11.1%
-0.2726438079 1
11.1%
1.590746784 1
11.1%
1.051430756 1
11.1%
0.5085063752 1
11.1%
-0.08046546468 1
11.1%
-1.759977892 1
11.1%
0.1877605037 1
11.1%
0.01532012906 1
11.1%
ValueCountFrequency (%)
-1.759977892 1
11.1%
-0.5861025217 1
11.1%
-0.2726438079 1
11.1%
-0.08046546468 1
11.1%
0.01532012906 1
11.1%
ValueCountFrequency (%)
1.590746784 1
11.1%
1.051430756 1
11.1%
0.5085063752 1
11.1%
0.1877605037 1
11.1%
0.01532012906 1
11.1%

cash_lt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2977578213
Minimum-1.576764293
Maximum1.447400998
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:47.480204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.576764293
5-th percentile-1.450467514
Q1-0.5097083009
median0.6297322797
Q31.274767695
95-th percentile1.431691034
Maximum1.447400998
Range3.024165291
Interquartile range (IQR)1.784475996

Descriptive statistics

Standard deviation1.144074375
Coefficient of variation (CV)3.842298316
Kurtosis-0.9890892283
Mean0.2977578213
Median Absolute Deviation (MAD)0.7783938067
Skewness-0.7444389302
Sum2.679820392
Variance1.308906176
MonotonicityNot monotonic
2025-03-30T10:54:47.839814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.5097083009 1
11.1%
-1.261022346 1
11.1%
1.447400998 1
11.1%
1.274767695 1
11.1%
-1.576764293 1
11.1%
0.6297322797 1
11.1%
0.5098955593 1
11.1%
0.7573927119 1
11.1%
1.408126086 1
11.1%
ValueCountFrequency (%)
-1.576764293 1
11.1%
-1.261022346 1
11.1%
-0.5097083009 1
11.1%
0.5098955593 1
11.1%
0.6297322797 1
11.1%
ValueCountFrequency (%)
1.447400998 1
11.1%
1.408126086 1
11.1%
1.274767695 1
11.1%
0.7573927119 1
11.1%
0.6297322797 1
11.1%

debt_at
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4017057114
Minimum-2.224753348
Maximum0.7090397677
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:48.206637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.224753348
5-th percentile-1.826043933
Q1-0.7977129791
median-0.4778753054
Q30.4319550305
95-th percentile0.6020642046
Maximum0.7090397677
Range2.933793116
Interquartile range (IQR)1.22966801

Descriptive statistics

Standard deviation0.9484127779
Coefficient of variation (CV)-2.360964136
Kurtosis0.1161894339
Mean-0.4017057114
Median Absolute Deviation (MAD)0.750104506
Skewness-0.7461886943
Sum-3.615351402
Variance0.8994867972
MonotonicityNot monotonic
2025-03-30T10:54:48.565781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.4319550305 1
11.1%
-0.4778753054 1
11.1%
0.7090397677 1
11.1%
-0.7977129791 1
11.1%
-0.6418883746 1
11.1%
-2.224753348 1
11.1%
0.1722627582 1
11.1%
-1.227979811 1
11.1%
0.4416008598 1
11.1%
ValueCountFrequency (%)
-2.224753348 1
11.1%
-1.227979811 1
11.1%
-0.7977129791 1
11.1%
-0.6418883746 1
11.1%
-0.4778753054 1
11.1%
ValueCountFrequency (%)
0.7090397677 1
11.1%
0.4416008598 1
11.1%
0.4319550305 1
11.1%
0.1722627582 1
11.1%
-0.4778753054 1
11.1%

debt_ebitda
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3727600763
Minimum-1.382115238
Maximum0.7871971805
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:48.940894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.382115238
5-th percentile-1.273110575
Q1-0.8836687487
median-0.4776898549
Q30.2878313285
95-th percentile0.6019594889
Maximum0.7871971805
Range2.169312418
Interquartile range (IQR)1.171500077

Descriptive statistics

Standard deviation0.7220617034
Coefficient of variation (CV)-1.937068236
Kurtosis-0.9832129477
Mean-0.3727600763
Median Absolute Deviation (MAD)0.6319137259
Skewness0.260465498
Sum-3.354840687
Variance0.5213731035
MonotonicityNot monotonic
2025-03-30T10:54:49.306918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.4776898549 1
11.1%
-0.6202121345 1
11.1%
-0.2806825908 1
11.1%
-1.109603581 1
11.1%
-1.382115238 1
11.1%
0.3241029516 1
11.1%
-0.8836687487 1
11.1%
0.2878313285 1
11.1%
0.7871971805 1
11.1%
ValueCountFrequency (%)
-1.382115238 1
11.1%
-1.109603581 1
11.1%
-0.8836687487 1
11.1%
-0.6202121345 1
11.1%
-0.4776898549 1
11.1%
ValueCountFrequency (%)
0.7871971805 1
11.1%
0.3241029516 1
11.1%
0.2878313285 1
11.1%
-0.2806825908 1
11.1%
-0.4776898549 1
11.1%

lt_debt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09543582168
Minimum-2.391129596
Maximum3.184306569
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:49.648260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.391129596
5-th percentile-2.234086028
Q1-0.2235519298
median-0.1945969364
Q30.4171660298
95-th percentile2.084052973
Maximum3.184306569
Range5.575436165
Interquartile range (IQR)0.6407179596

Descriptive statistics

Standard deviation1.591981976
Coefficient of variation (CV)-16.68117849
Kurtosis1.965219524
Mean-0.09543582168
Median Absolute Deviation (MAD)0.6117629662
Skewness0.6602752115
Sum-0.8589223951
Variance2.534406611
MonotonicityNot monotonic
2025-03-30T10:54:50.028136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-2.391129596 1
11.1%
0.1183695461 1
11.1%
0.4336725806 1
11.1%
-0.1945969364 1
11.1%
3.184306569 1
11.1%
-0.2235519298 1
11.1%
-1.998520676 1
11.1%
-0.2046379817 1
11.1%
0.4171660298 1
11.1%
ValueCountFrequency (%)
-2.391129596 1
11.1%
-1.998520676 1
11.1%
-0.2235519298 1
11.1%
-0.2046379817 1
11.1%
-0.1945969364 1
11.1%
ValueCountFrequency (%)
3.184306569 1
11.1%
0.4336725806 1
11.1%
0.4171660298 1
11.1%
0.1183695461 1
11.1%
-0.1945969364 1
11.1%

cash_debt
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1496801532
Minimum-1.908112392
Maximum1.078551746
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:50.377050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.908112392
5-th percentile-1.507582537
Q1-0.1165540855
median-0.07127123235
Q30.1198200236
95-th percentile0.8898594177
Maximum1.078551746
Range2.986664138
Interquartile range (IQR)0.2363741092

Descriptive statistics

Standard deviation0.8542014668
Coefficient of variation (CV)-5.706845221
Kurtosis1.716520692
Mean-0.1496801532
Median Absolute Deviation (MAD)0.191091256
Skewness-0.9191111107
Sum-1.347121379
Variance0.7296601459
MonotonicityNot monotonic
2025-03-30T10:54:50.746650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.078551746 1
11.1%
-1.908112392 1
11.1%
0.1198200236 1
11.1%
0.6068209247 1
11.1%
-0.06997717035 1
11.1%
-0.07127123235 1
11.1%
-0.906787754 1
11.1%
-0.1165540855 1
11.1%
-0.07961143936 1
11.1%
ValueCountFrequency (%)
-1.908112392 1
11.1%
-0.906787754 1
11.1%
-0.1165540855 1
11.1%
-0.07961143936 1
11.1%
-0.07127123235 1
11.1%
ValueCountFrequency (%)
1.078551746 1
11.1%
0.6068209247 1
11.1%
0.1198200236 1
11.1%
-0.06997717035 1
11.1%
-0.07127123235 1
11.1%

lt_ppent
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1121777894
Minimum-1.11284637
Maximum1.739504597
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)66.7%
Memory size144.0 B
2025-03-30T10:54:51.110667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.11284637
5-th percentile-0.9172279389
Q1-0.5688904096
median-0.3062700088
Q31.041914325
95-th percentile1.606320017
Maximum1.739504597
Range2.852350967
Interquartile range (IQR)1.610804735

Descriptive statistics

Standard deviation1.011586319
Coefficient of variation (CV)9.017705954
Kurtosis-1.140875528
Mean0.1121777894
Median Absolute Deviation (MAD)0.3175302833
Skewness0.7027749083
Sum1.009600104
Variance1.023306881
MonotonicityNot monotonic
2025-03-30T10:54:51.464714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.406543147 1
11.1%
1.739504597 1
11.1%
-0.5688904096 1
11.1%
-0.6238002921 1
11.1%
-0.2363693232 1
11.1%
1.041914325 1
11.1%
-0.3301855612 1
11.1%
-1.11284637 1
11.1%
-0.3062700088 1
11.1%
ValueCountFrequency (%)
-1.11284637 1
11.1%
-0.6238002921 1
11.1%
-0.5688904096 1
11.1%
-0.3301855612 1
11.1%
-0.3062700088 1
11.1%
ValueCountFrequency (%)
1.739504597 1
11.1%
1.406543147 1
11.1%
1.041914325 1
11.1%
-0.2363693232 1
11.1%
-0.3062700088 1
11.1%

dltt_be
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03730096615
Minimum-2.214916704
Maximum1.979177268
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:51.839009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.214916704
5-th percentile-1.573156643
Q1-0.5100558077
median0.2177240518
Q30.45376626
95-th percentile1.439667323
Maximum1.979177268
Range4.194093972
Interquartile range (IQR)0.9638220676

Descriptive statistics

Standard deviation1.128940792
Coefficient of variation (CV)30.26572522
Kurtosis2.086519495
Mean0.03730096615
Median Absolute Deviation (MAD)0.4126783541
Skewness-0.4725628803
Sum0.3357086954
Variance1.274507312
MonotonicityNot monotonic
2025-03-30T10:54:52.213531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.08130957236 1
11.1%
0.3088182002 1
11.1%
0.2177240518 1
11.1%
-0.6105165503 1
11.1%
0.45376626 1
11.1%
-0.5100558077 1
11.1%
0.6304024059 1
11.1%
1.979177268 1
11.1%
-2.214916704 1
11.1%
ValueCountFrequency (%)
-2.214916704 1
11.1%
-0.6105165503 1
11.1%
-0.5100558077 1
11.1%
0.08130957236 1
11.1%
0.2177240518 1
11.1%
ValueCountFrequency (%)
1.979177268 1
11.1%
0.6304024059 1
11.1%
0.45376626 1
11.1%
0.3088182002 1
11.1%
0.2177240518 1
11.1%

debt_assets
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2143394139
Minimum-0.9724203259
Maximum1.768070001
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:52.555199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9724203259
5-th percentile-0.9043157594
Q1-0.6701899106
median0.4714294956
Q30.5307896973
95-th percentile1.496174034
Maximum1.768070001
Range2.740490327
Interquartile range (IQR)1.200979608

Descriptive statistics

Standard deviation0.9159356308
Coefficient of variation (CV)4.273295396
Kurtosis-0.7274670722
Mean0.2143394139
Median Absolute Deviation (MAD)0.6169005872
Skewness0.2241242775
Sum1.929054726
Variance0.8389380797
MonotonicityNot monotonic
2025-03-30T10:54:52.914831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.006525622421 1
11.1%
0.5307896973 1
11.1%
-0.9724203259 1
11.1%
1.768070001 1
11.1%
-0.8021589097 1
11.1%
-0.6701899106 1
11.1%
0.5217302172 1
11.1%
1.088330083 1
11.1%
0.4714294956 1
11.1%
ValueCountFrequency (%)
-0.9724203259 1
11.1%
-0.8021589097 1
11.1%
-0.6701899106 1
11.1%
-0.006525622421 1
11.1%
0.4714294956 1
11.1%
ValueCountFrequency (%)
1.768070001 1
11.1%
1.088330083 1
11.1%
0.5307896973 1
11.1%
0.5217302172 1
11.1%
0.4714294956 1
11.1%

debt_capital
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0973646434
Minimum-1.218443612
Maximum1.144343118
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:53.283445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.218443612
5-th percentile-1.179442392
Q1-0.6187921029
median-0.08718083833
Q30.1475424064
95-th percentile1.113532653
Maximum1.144343118
Range2.36278673
Interquartile range (IQR)0.7663345093

Descriptive statistics

Standard deviation0.835690359
Coefficient of variation (CV)-8.583098852
Kurtosis-0.7416723166
Mean-0.0973646434
Median Absolute Deviation (MAD)0.5316112646
Skewness0.2440516098
Sum-0.8762817906
Variance0.6983783761
MonotonicityNot monotonic
2025-03-30T10:54:53.657749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.067316955 1
11.1%
-1.218443612 1
11.1%
-0.08718083833 1
11.1%
1.144343118 1
11.1%
-0.6187921029 1
11.1%
0.1475424064 1
11.1%
-0.2566178173 1
11.1%
-1.120940562 1
11.1%
0.0664906614 1
11.1%
ValueCountFrequency (%)
-1.218443612 1
11.1%
-1.120940562 1
11.1%
-0.6187921029 1
11.1%
-0.2566178173 1
11.1%
-0.08718083833 1
11.1%
ValueCountFrequency (%)
1.144343118 1
11.1%
1.067316955 1
11.1%
0.1475424064 1
11.1%
0.0664906614 1
11.1%
-0.08718083833 1
11.1%

de_ratio
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3624313432
Minimum-1.840672304
Maximum0.5631787897
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:53.999829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.840672304
5-th percentile-1.633056986
Q1-0.7878957057
median-0.2254130969
Q30.1131382073
95-th percentile0.5114345272
Maximum0.5631787897
Range2.403851093
Interquartile range (IQR)0.901033913

Descriptive statistics

Standard deviation0.808150001
Coefficient of variation (CV)-2.229801633
Kurtosis-0.2509580507
Mean-0.3624313432
Median Absolute Deviation (MAD)0.5624826088
Skewness-0.8205509073
Sum-3.261882089
Variance0.6531064241
MonotonicityNot monotonic
2025-03-30T10:54:54.358776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.07959425276 1
11.1%
0.4338181334 1
11.1%
-0.2759963573 1
11.1%
-1.840672304 1
11.1%
0.1131382073 1
11.1%
-1.321634009 1
11.1%
-0.7878957057 1
11.1%
-0.2254130969 1
11.1%
0.5631787897 1
11.1%
ValueCountFrequency (%)
-1.840672304 1
11.1%
-1.321634009 1
11.1%
-0.7878957057 1
11.1%
-0.2759963573 1
11.1%
-0.2254130969 1
11.1%
ValueCountFrequency (%)
0.5631787897 1
11.1%
0.4338181334 1
11.1%
0.1131382073 1
11.1%
0.07959425276 1
11.1%
-0.2254130969 1
11.1%

at_turn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.241500561
Minimum-2.141135716
Maximum1.553421486
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)55.6%
Memory size144.0 B
2025-03-30T10:54:54.709840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.141135716
5-th percentile-2.009996609
Q1-0.717869948
median-0.2875598064
Q30.6150889841
95-th percentile1.354942389
Maximum1.553421486
Range3.694557202
Interquartile range (IQR)1.332958932

Descriptive statistics

Standard deviation1.228086662
Coefficient of variation (CV)-5.085233166
Kurtosis-0.6917051956
Mean-0.241500561
Median Absolute Deviation (MAD)0.9026487906
Skewness-0.1941068645
Sum-2.173505049
Variance1.50819685
MonotonicityNot monotonic
2025-03-30T10:54:55.091854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.01933581858 1
11.1%
-0.2875598064 1
11.1%
1.553421486 1
11.1%
-2.141135716 1
11.1%
-1.813287948 1
11.1%
-0.717869948 1
11.1%
0.6150889841 1
11.1%
1.057223742 1
11.1%
-0.4587216616 1
11.1%
ValueCountFrequency (%)
-2.141135716 1
11.1%
-1.813287948 1
11.1%
-0.717869948 1
11.1%
-0.4587216616 1
11.1%
-0.2875598064 1
11.1%
ValueCountFrequency (%)
1.553421486 1
11.1%
1.057223742 1
11.1%
0.6150889841 1
11.1%
0.01933581858 1
11.1%
-0.2875598064 1
11.1%

rect_turn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4427307275
Minimum-0.7165407557
Maximum1.864499723
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:55.463799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7165407557
5-th percentile-0.6191908792
Q1-0.3011913575
median0.5166805192
Q30.7898197035
95-th percentile1.558430479
Maximum1.864499723
Range2.581040479
Interquartile range (IQR)1.091011061

Descriptive statistics

Standard deviation0.8237450248
Coefficient of variation (CV)1.860600527
Kurtosis-0.4320191096
Mean0.4427307275
Median Absolute Deviation (MAD)0.5826460923
Skewness0.1436289857
Sum3.984576548
Variance0.678555866
MonotonicityNot monotonic
2025-03-30T10:54:55.823238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-0.3011913575 1
11.1%
-0.7165407557 1
11.1%
0.5166805192 1
11.1%
0.7795842462 1
11.1%
-0.4731660645 1
11.1%
1.099326611 1
11.1%
0.7898197035 1
11.1%
0.4255639215 1
11.1%
1.864499723 1
11.1%
ValueCountFrequency (%)
-0.7165407557 1
11.1%
-0.4731660645 1
11.1%
-0.3011913575 1
11.1%
0.4255639215 1
11.1%
0.5166805192 1
11.1%
ValueCountFrequency (%)
1.864499723 1
11.1%
1.099326611 1
11.1%
0.7898197035 1
11.1%
0.7795842462 1
11.1%
0.5166805192 1
11.1%

pay_turn
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2809342707
Minimum-1.65958243
Maximum0.746908172
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)77.8%
Memory size144.0 B
2025-03-30T10:54:56.170547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.65958243
5-th percentile-1.407447957
Q1-0.526714393
median-0.1741505071
Q3-0.0401583124
95-th percentile0.6312531603
Maximum0.746908172
Range2.406490602
Interquartile range (IQR)0.4865560806

Descriptive statistics

Standard deviation0.7284422925
Coefficient of variation (CV)-2.592927843
Kurtosis0.5178809419
Mean-0.2809342707
Median Absolute Deviation (MAD)0.3525638859
Skewness-0.6396379295
Sum-2.528408436
Variance0.5306281735
MonotonicityNot monotonic
2025-03-30T10:54:56.531256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.746908172 1
11.1%
0.4577706429 1
11.1%
-0.05412530585 1
11.1%
-1.029246247 1
11.1%
-0.2491100549 1
11.1%
-1.65958243 1
11.1%
-0.526714393 1
11.1%
-0.1741505071 1
11.1%
-0.0401583124 1
11.1%
ValueCountFrequency (%)
-1.65958243 1
11.1%
-1.029246247 1
11.1%
-0.526714393 1
11.1%
-0.2491100549 1
11.1%
-0.1741505071 1
11.1%
ValueCountFrequency (%)
0.746908172 1
11.1%
0.4577706429 1
11.1%
-0.0401583124 1
11.1%
-0.05412530585 1
11.1%
-0.1741505071 1
11.1%

sale_invcap
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2522769108
Minimum-1.098567665
Maximum1.197228103
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:56.888422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.098567665
5-th percentile-0.8753765245
Q1-0.3952117833
median0.4390767359
Q30.8661195155
95-th percentile1.122928747
Maximum1.197228103
Range2.295795768
Interquartile range (IQR)1.261331299

Descriptive statistics

Standard deviation0.7840360201
Coefficient of variation (CV)3.107838992
Kurtosis-0.8874466098
Mean0.2522769108
Median Absolute Deviation (MAD)0.5724029781
Skewness-0.5525359958
Sum2.270492197
Variance0.6147124808
MonotonicityNot monotonic
2025-03-30T10:54:57.270420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.6434781452 1
11.1%
-1.098567665 1
11.1%
-0.3952117833 1
11.1%
1.011479714 1
11.1%
0.1474792456 1
11.1%
-0.5405898132 1
11.1%
0.8661195155 1
11.1%
0.4390767359 1
11.1%
1.197228103 1
11.1%
ValueCountFrequency (%)
-1.098567665 1
11.1%
-0.5405898132 1
11.1%
-0.3952117833 1
11.1%
0.1474792456 1
11.1%
0.4390767359 1
11.1%
ValueCountFrequency (%)
1.197228103 1
11.1%
1.011479714 1
11.1%
0.8661195155 1
11.1%
0.6434781452 1
11.1%
0.4390767359 1
11.1%

sale_equity
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02735027781
Minimum-1.818966678
Maximum1.550996355
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:57.612615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.818966678
5-th percentile-1.464908238
Q1-0.9212806395
median0.09259714855
Q30.8790623082
95-th percentile1.489102811
Maximum1.550996355
Range3.369963033
Interquartile range (IQR)1.800342948

Descriptive statistics

Standard deviation1.132436616
Coefficient of variation (CV)41.40494018
Kurtosis-0.8715463482
Mean0.02735027781
Median Absolute Deviation (MAD)1.013877788
Skewness-0.1464217955
Sum0.2461525003
Variance1.28241269
MonotonicityNot monotonic
2025-03-30T10:54:57.993251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.2244265278 1
11.1%
-1.818966678 1
11.1%
1.550996355 1
11.1%
0.09259714855 1
11.1%
-0.2231244378 1
11.1%
1.396262493 1
11.1%
0.8790623082 1
11.1%
-0.9338205778 1
11.1%
-0.9212806395 1
11.1%
ValueCountFrequency (%)
-1.818966678 1
11.1%
-0.9338205778 1
11.1%
-0.9212806395 1
11.1%
-0.2231244378 1
11.1%
0.09259714855 1
11.1%
ValueCountFrequency (%)
1.550996355 1
11.1%
1.396262493 1
11.1%
0.8790623082 1
11.1%
0.2244265278 1
11.1%
0.09259714855 1
11.1%

rd_sale
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1664823899
Minimum-1.372815034
Maximum1.461117851
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:58.343541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.372815034
5-th percentile-1.197056673
Q1-0.6689302183
median0.3197945349
Q30.7673374133
95-th percentile1.281803834
Maximum1.461117851
Range2.833932885
Interquartile range (IQR)1.436267632

Descriptive statistics

Standard deviation0.9594942699
Coefficient of variation (CV)5.763337914
Kurtosis-1.058860539
Mean0.1664823899
Median Absolute Deviation (MAD)0.6930382728
Skewness-0.4350631933
Sum1.498341509
Variance0.9206292539
MonotonicityNot monotonic
2025-03-30T10:54:58.717726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.372815034 1
11.1%
0.7236928855 1
11.1%
-0.6689302183 1
11.1%
-0.9334191308 1
11.1%
0.3197945349 1
11.1%
1.461117851 1
11.1%
1.012832808 1
11.1%
0.7673374133 1
11.1%
0.1887303994 1
11.1%
ValueCountFrequency (%)
-1.372815034 1
11.1%
-0.9334191308 1
11.1%
-0.6689302183 1
11.1%
0.1887303994 1
11.1%
0.3197945349 1
11.1%
ValueCountFrequency (%)
1.461117851 1
11.1%
1.012832808 1
11.1%
0.7673374133 1
11.1%
0.7236928855 1
11.1%
0.3197945349 1
11.1%

adv_sale
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1805708538
Minimum-2.143392512
Maximum2.152323914
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:54:59.109766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.143392512
5-th percentile-2.051407656
Q1-1.234357451
median0.2124480575
Q30.4142657867
95-th percentile1.716030483
Maximum2.152323914
Range4.295716426
Interquartile range (IQR)1.648623238

Descriptive statistics

Standard deviation1.408851411
Coefficient of variation (CV)-7.802208287
Kurtosis-0.6726059985
Mean-0.1805708538
Median Absolute Deviation (MAD)0.8491422794
Skewness0.06107527737
Sum-1.625137684
Variance1.9848623
MonotonicityNot monotonic
2025-03-30T10:54:59.468527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.4142657867 1
11.1%
-2.143392512 1
11.1%
-0.5355686939 1
11.1%
0.360983251 1
11.1%
2.152323914 1
11.1%
0.2124480575 1
11.1%
1.061590337 1
11.1%
-1.234357451 1
11.1%
-1.913430372 1
11.1%
ValueCountFrequency (%)
-2.143392512 1
11.1%
-1.913430372 1
11.1%
-1.234357451 1
11.1%
-0.5355686939 1
11.1%
0.2124480575 1
11.1%
ValueCountFrequency (%)
2.152323914 1
11.1%
1.061590337 1
11.1%
0.4142657867 1
11.1%
0.360983251 1
11.1%
0.2124480575 1
11.1%

staff_sale
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2651425439
Minimum-1.378959727
Maximum1.846704565
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)33.3%
Memory size144.0 B
2025-03-30T10:54:59.811687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.378959727
5-th percentile-1.090178348
Q1-0.4782247465
median0.4694875983
Q30.8078429477
95-th percentile1.491819541
Maximum1.846704565
Range3.225664293
Interquartile range (IQR)1.286067694

Descriptive statistics

Standard deviation0.9772382607
Coefficient of variation (CV)3.685709001
Kurtosis-0.1806815755
Mean0.2651425439
Median Absolute Deviation (MAD)0.4900044071
Skewness-0.1893580285
Sum2.386282896
Variance0.9549946181
MonotonicityNot monotonic
2025-03-30T10:55:00.197673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.8078429477 1
11.1%
0.7026701917 1
11.1%
-1.378959727 1
11.1%
0.4694875983 1
11.1%
-0.6570062797 1
11.1%
0.9594920054 1
11.1%
-0.4782247465 1
11.1%
1.846704565 1
11.1%
0.1142763404 1
11.1%
ValueCountFrequency (%)
-1.378959727 1
11.1%
-0.6570062797 1
11.1%
-0.4782247465 1
11.1%
0.1142763404 1
11.1%
0.4694875983 1
11.1%
ValueCountFrequency (%)
1.846704565 1
11.1%
0.9594920054 1
11.1%
0.8078429477 1
11.1%
0.7026701917 1
11.1%
0.4694875983 1
11.1%

accrual
Real number (ℝ)

Unique 

Distinct9
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1211638986
Minimum-1.877830876
Maximum1.189316404
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)44.4%
Memory size144.0 B
2025-03-30T10:55:00.603032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.877830876
5-th percentile-1.778873787
Q1-0.3875435145
median0.02421836702
Q30.5466840637
95-th percentile1.043825409
Maximum1.189316404
Range3.06714728
Interquartile range (IQR)0.9342275782

Descriptive statistics

Standard deviation1.039719819
Coefficient of variation (CV)-8.581102382
Kurtosis-0.2890585373
Mean-0.1211638986
Median Absolute Deviation (MAD)0.5224656967
Skewness-0.7771601273
Sum-1.090475088
Variance1.081017302
MonotonicityNot monotonic
2025-03-30T10:55:00.969043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.189316404 1
11.1%
0.8255889168 1
11.1%
0.5466840637 1
11.1%
-1.877830876 1
11.1%
-0.003989429481 1
11.1%
0.223519135 1
11.1%
0.02421836702 1
11.1%
-1.630438154 1
11.1%
-0.3875435145 1
11.1%
ValueCountFrequency (%)
-1.877830876 1
11.1%
-1.630438154 1
11.1%
-0.3875435145 1
11.1%
-0.003989429481 1
11.1%
0.02421836702 1
11.1%
ValueCountFrequency (%)
1.189316404 1
11.1%
0.8255889168 1
11.1%
0.5466840637 1
11.1%
0.223519135 1
11.1%
0.02421836702 1
11.1%

string_values
Text

Distinct5
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size144.0 B
2025-03-30T10:55:01.534373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length116
Median length83
Mean length93.11111111
Min length83

Characters and Unicode

Total characters838
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)44.4%

Sample

1st rowDespite market volatility, the firm's financial position is strong, with solid liquidity and manageable debt levels.
2nd rowThe outlook remains positive, with expected growth in both domestic and international markets.
3rd rowThe company reported a steady increase in revenue, reflecting strong market demand.
4th rowEarnings before interest and taxes improved significantly from last year, driven by cost reduction measures.
5th rowThe company reported a steady increase in revenue, reflecting strong market demand.
ValueCountFrequency (%)
the 8
 
6.8%
in 8
 
6.8%
market 6
 
5.1%
strong 6
 
5.1%
company 5
 
4.2%
reported 5
 
4.2%
a 5
 
4.2%
increase 5
 
4.2%
steady 5
 
4.2%
reflecting 5
 
4.2%
Other values (49) 60
50.8%
2025-03-30T10:55:02.565520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
13.0%
e 105
12.5%
n 64
 
7.6%
t 59
 
7.0%
i 58
 
6.9%
a 55
 
6.6%
r 55
 
6.6%
s 42
 
5.0%
o 35
 
4.2%
d 31
 
3.7%
Other values (22) 225
26.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 838
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
109
13.0%
e 105
12.5%
n 64
 
7.6%
t 59
 
7.0%
i 58
 
6.9%
a 55
 
6.6%
r 55
 
6.6%
s 42
 
5.0%
o 35
 
4.2%
d 31
 
3.7%
Other values (22) 225
26.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 838
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
109
13.0%
e 105
12.5%
n 64
 
7.6%
t 59
 
7.0%
i 58
 
6.9%
a 55
 
6.6%
r 55
 
6.6%
s 42
 
5.0%
o 35
 
4.2%
d 31
 
3.7%
Other values (22) 225
26.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 838
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
109
13.0%
e 105
12.5%
n 64
 
7.6%
t 59
 
7.0%
i 58
 
6.9%
a 55
 
6.6%
r 55
 
6.6%
s 42
 
5.0%
o 35
 
4.2%
d 31
 
3.7%
Other values (22) 225
26.8%